Uncertain Rule-Based Fuzzy Logic Systems:
|
|
- Osborn Dixon
- 6 years ago
- Views:
Transcription
1 Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions Jerry M. Mendel University of Southern California Los Angeles, CA PH PTR Prentice Hall PTR Upper Saddle River, NJ ISBN *^-3
2 Contents PREFACE xv *i PART 1: PRELIMINARIES 1 INTRODUCTION Rule-BasedFLSs 1.2 A New Direction for FLSs New Concepts and Their Historical Background Fundamental Design Requirement The Flow of Uncertainties H 1.6 Existing Literature on Type-2 Fuzzy Sets Coverage 1.8 Applicability Outside of Rule-Based FLSs Computation 18 SUPPLEMENTARY MATERIAL: SHORT PRIMERS ON FUZZY SETS AND FUZZY LOGIC 1.10 Primer on Fuzzy Sets Crisp sets From crisp sets to fuzzy sets Linguistic variables Membership functions Some terminology Set theoretic Operations for crisp sets Set theoretic Operations for fuzzy sets Crisp relations and compositions on the same product space Fuzzy relations and compositions on the same product space Crisp relations and compositions on different product Spaces Fuzzy relations and compositions on different product Spaces Hedges 42 6
3 VI Contents Extension principle Primer on FL Crisplogic From crisp logic to FL Remarks 59 Exercises 59 2 SoURCES OF UNCERTAINTY Uncertainties in a FLS Uncertainty: General discussions Uncertainty: In a FLS Words Mean Different Things to Different People 70 Exercises 78 3 MEMBERSHIP FUNCTIONS AND UNCERTAINTY Introduction Type-1 Membership Functions Type-2 Membership Functions The concept of a type-2 fuzzy set Definition of a type-2 fiizzy set and associated concepts More examples of type-2 fuzzy sets and FOUs Upper and lower membership functions Embedded type-2 and type-1 sets Type-1 fuzzy sets represented as type-2 fuzzy sets Zero and one memberships in a type-2 fuzzy set Returning to Linguistic Labels Multivariable Membership Functions Type-1 membership functions Type-2 membership functions Computation 107 Exercises 108
4 Table of Contents vii 4 CASESTUDIES Introduction Forecasting of Time-Series Extracting rules from the data Mackey-Glass chaotic time-series Knowledge Mining Using Surveys Methodology for knowledge mining Survey results Methodology for designing a FLA HowtouseaFLA 124 Exercises 126 PART 2: TYPE-1 FUZZY LOGIC SYSTEMS 5 SINGLETON TYPE-1 FUZZY LOGIC SYSTEMS: NO UNCERTAINTIES Introduction Rules Fuzzy Inference Engine Fuzzification and Its Effect on Inference Fuzzifier Fuzzy inference engine Defuzzification Centroid defuzzifier Center-of-sums defuzzifier Height defuzzifier Modified height defuzzifier Center-of-sets defuzzifier An interesting fact Possibilities 149
5 VIII Contents 5.7 Fuzzy Basis Functions FLSs Are Universal Approximators Designing FLSs One-pass methods Least-squares method Back-propagation (steepest descent) method SVD-QR method Iterative design method Case Study: Forecasting of Time-Series One-pass design Back-propagation design A change in the measurements Case Study: Knowledge Mining Using Surveys A veraging the responses Preserving all the responses A Final Remark Computation 184 Exercises NON-SINGLETON TYPE-1 FUZZY LOGIC SYSTEMS m 6.1 Introduction Fuzzification and Its Effect on Inference Fuzzifier Fuzzy inference engine Possibilities FBFs Non-Singleton FLSs Are Universal Approximators Designing Non-Singleton FLSs One-pass methods Least-squares method Back-propagation (steepest descent) method SVD-QR method Iterative design method Case Study: Forecasting of Time-Series One-pass design Back-propagation design A Final Remark 209
6 Table of Contents IX 6.9 Computation 209 Exercises 209 Part 3: Type-2 Fuzzy Sets 7 OPERATIONS ON AND PROPERTIES OF TYPE-2 FUZZY SETS Introduction Extension Principle Operations on General Type-2 Fuzzy Sets S et theoretic Operations Algebraic Operations on fuzzy numbers 223 Operations on Interval Type-2 Fuzzy Sets Set theoretic Operations Algebraic Operations on interval fuzzy numbers 227 Summary of Operations Properties of Type-2 Fuzzy Sets Type-1 fuzzy sets Type-2 fuzzy sets 230 Computation Exercises TYPE-2 RELATIONS AND COMPOSITIONS 8.1 Introduction Relations in General Relations and Compositions on the Same Product Space Relations and Compositions on Different Product Spaces Composition of a Set with a Relation Cartesian Product of Fuzzy Sets
7 X Contents.7 Implications 246 Exercises CENTROID OF A TYPE-2 FUZZY SET: TYPE-REDUCTION Introduction General Results for the Centroid Generalized Centroid for Interval Type-2 Fuzzy Sets Centroid of an Interval Type-2 Fuzzy Set Type-Reduction: General Results Centroid type-reduction Center-of-sums type-reduction Height type-reduction Modified height type-reduction Center-of-sets type-reduction Computational complexity of type-reduction Concluding example Type-Reduction: Interval Sets Centroid type-reduction Center-of-sums type-reduction Height type-reduction Modified height type-reduction Center-of-sets type-reduction Concluding example Concluding Remark Computation 280 Exercises 281 PART 4: TYPE-2 FUZZY LOGIC SYSTEMS
8 Table of Contents xi 10 SINGLETON TYPE-2 FUZZY LOGIC SYSTEMS Introduction Rules Fuzzy Inference Engine Fuzzification and Its Effect on Inference Fuzzifier Fuzzy inference engine Type-Reduction Defuzzification Possibilities FBFs: The Lack Thereof Interval Type-2 FLSs Upper and lower membership functions for interval type-2 FLSs Fuzzy inference engine revisited Type-reduction and defuzzification revisited FBFs revisited Designing Interval Singleton Type-2 FLSs One-pass method Least-squares method Back-propagation (steepest descent) method SVD-QR method Iterative design method Case Study: Forecasting of Time-Series Case Study: Knowledge Mining Using Surveys Computation 350 Exercises TYPE-1 NON-SINGLETON TYPE-2 FUZZY LOGIC SYSTEMS Intr o ducti on Fuzzification and Its Effect on Inference Fuzzifier Fuzzy inference engine Interval Type-1 Non-Singleton Type-2 FLSs 356
9 XII Contents 11.4 Designing Interval Type-1 Non-Singleton Type-2 FLSs One-pass method Least-squares method Back-propagation (steepest descent) method SVD-QR method Iterative design method Case Study: Forecasting of Time-Series Final Reraark Computation 380 Exercises TYPE-2 NON-SINGLETON TYPE-2 FUZZY LOGIC SYSTEMS Introduction Fuzzification and Its Effect on Inference Fuzzifier Fuzzy inference engine Interval Type-2 Non-Singleton Type-2 FLSs Designing Interval Type-2 Non-Singleton Type-2 FLSs One-pass method Least-squares method Back-propagation (steepest descent) method SVD-QR method Iterative design method Case Study: Forecasting of Time-Series Six-epoch back-propagation design One-epoch combined back-propagation and SVD-QR design Six-epoch iterative combined back-propagation and SVD-QR design Computation 417 Exercises TSK FUZZY LOGIC SYSTEMS Introduction Type-1 TSK FLSs First-order type-1 TSK FLS 422
10 Table of Contents xiii A connection between type-1 TSK and Mamdani FLSs TSK FLSs are universal approximators Designing type-1 TSK FLSs Type-2 TSK FLSs First-order type-2 TSK FLS Interval type-2 TSK FLSs Unnormalized interval type-2 TSK FLSs Further comparisons of TSK and Mamdani FLSs Designing interval type-2 TSK FLSs using a back-propagation (steepest descent) method Example: Forecasting of Compressed Video Traffic Introduction to MPEG video traffic Forecasting I frame sizes: General information Forecastinglframe sizes: Usingthe samenumber of rules Forecasting I frame sizes: Using the same number of design Parameters Conclusion Final Remark Computation 451 Exercises E PILOGUE Introduction Type-2 Versus Type-1 FLSs Appropriate Applications for a Type-2 FLS Rule-Based Classification of Video Traffic Selected features FOUs for the features Rules FOUs for the measurements Design parameters in a FL RBC Computational formulas for type-1 FL RBCs Computational formulas for type-2 FL RBCs Optimization ofrule design-parameters Testing the FL RBCs Results and conclusions Equalization of Time-Varying Non-linear Digital Communication Channels Preliminaries for Channel equalization Why a type-2 FAF is needed Designing the FAFs 476
11 xiv Contents Simulations and conclusions Overcoming CCI and ISI for Digital Communication Channels Communication System with ISI and CCI Designing the FAFs Simulations and conclusions Connection Admission Control for ATM Networks Survey-based CAC using a type-2 FLS: Overview Extracting the knowledge for CAC Choosing membership functions for the linguistic labeis Survey processing CAC decision boundaries and conclusions Potential Application Areas for a Type-2 FLS Perceptual Computing FL control Diagnostic medicine Financial applications Perceptual designs ofmultimedia Systems 500 Exercises 500 A «JOIN, MEET, AND NEGATION OP ERATIONS FOR NON-lNTERVAL TYPE-2 FUZZY SETS 502 A.l Introduction 502 A.2 Join Under Minimum or Product t-norms 503 A.3 Meet Under Minimum t-norm 504 A.4 Meet Under Product t-norm 509 A.5 Negation 512 A.6 Computation 514 Exercises 515 B PROPERTIES OF TYPE-1 AND TYPE-2 FUZZY SETS 517 B.l Introduction 517
12 Table of Contents xv B.2 Type-1 Fuzzy Sets 517 B.3 Type-2 Fuzzy Sets 520 Exercises 525 c c OMPUTATION 526 C.l Type-1 FLSs 526 C.2 General Type-2 FLSs 527 C.3 Interval Type-2 FLSs 528 R I EFERENCES 530 NDEX 547
Implementation of Inference Engine in Adaptive Neuro Fuzzy Inference System to Predict and Control the Sugar Level in Diabetic Patient
, ISSN (Print) : 319-8613 Implementation of Inference Engine in Adaptive Neuro Fuzzy Inference System to Predict and Control the Sugar Level in Diabetic Patient M. Mayilvaganan # 1 R. Deepa * # Associate
More informationFuzzy Expert System Design for Medical Diagnosis
Second International Conference Modelling and Development of Intelligent Systems Sibiu - Romania, September 29 - October 02, 2011 Man Diana Ofelia Abstract In recent years, the methods of artificial intelligence
More informationLinear and Nonlinear Optimization
Linear and Nonlinear Optimization SECOND EDITION Igor Griva Stephen G. Nash Ariela Sofer George Mason University Fairfax, Virginia Society for Industrial and Applied Mathematics Philadelphia Contents Preface
More informationAdaptive Type-2 Fuzzy Logic Control of Non-Linear Processes
Adaptive Type-2 Fuzzy Logic Control of Non-Linear Processes Bartolomeo Cosenza, Mosè Galluzzo* Dipartimento di Ingegneria Chimica dei Processi e dei Materiali, Università degli Studi di Palermo Viale delle
More informationType-2 fuzzy control of a fed-batch fermentation reactor
20 th European Symposium on Computer Aided Process Engineering ESCAPE20 S. Pierucci and G. Buzzi Ferraris (Editors) 2010 Elsevier B.V. All rights reserved. Type-2 fuzzy control of a fed-batch fermentation
More informationDeveloping a Fuzzy Database System for Heart Disease Diagnosis
Developing a Fuzzy Database System for Heart Disease Diagnosis College of Information Technology Jenan Moosa Hasan Databases are Everywhere! Linguistic Terms V a g u e Hazy Nebulous Unclear Enigmatic Uncertain
More informationStepwise Knowledge Acquisition in a Fuzzy Knowledge Representation Framework
Stepwise Knowledge Acquisition in a Fuzzy Knowledge Representation Framework Thomas E. Rothenfluh 1, Karl Bögl 2, and Klaus-Peter Adlassnig 2 1 Department of Psychology University of Zurich, Zürichbergstraße
More informationGraduate Survey - May 2014 (Human Services)
1a. To earn an Associate Degree, Diploma, or Certificate 1b. To prepare for getting a new job Yes 10 100.00 Yes 6 60.00 Missing 0 0.00 Missing 4 40.00 1c. To improve existing job skills 1d. To transfer
More informationFever Diagnosis Rule-Based Expert Systems
Fever Diagnosis Rule-Based Expert Systems S. Govinda Rao M. Eswara Rao D. Siva Prasad Dept. of CSE Dept. of CSE Dept. of CSE TP inst. Of Science & Tech., TP inst. Of Science & Tech., Rajah RSRKRR College
More informationComputational Intelligence Lecture 21: Integrating Fuzzy Systems and Neural Networks
Computational Intelligence Lecture 21: Integrating Fuzzy Systems and Neural Networks Farzaneh Abdollahi Department of Electrical Engineering Amirkabir University of Technology Fall 2013 Farzaneh Abdollahi
More informationComparison of Mamdani and Sugeno Fuzzy Interference Systems for the Breast Cancer Risk
Comparison of Mamdani and Sugeno Fuzzy Interference Systems for the Breast Cancer Risk Alshalaa A. Shleeg, Issmail M. Ellabib Abstract Breast cancer is a major health burden worldwide being a major cause
More informationArtificially Intelligent Primary Medical Aid for Patients Residing in Remote areas using Fuzzy Logic
Artificially Intelligent Primary Medical Aid for Patients Residing in Remote areas using Fuzzy Logic Ravinkal Kaur 1, Virat Rehani 2 1M.tech Student, Dept. of CSE, CT Institute of Technology & Research,
More informationA Fuzzy Logic System to Encode Emotion-Related Words and Phrases
A Fuzzy Logic System to Encode Emotion-Related Words and Phrases Author: Abe Kazemzadeh Contact: kazemzad@usc.edu class: EE590 Fuzzy Logic professor: Prof. Mendel Date: 2007-12-6 Abstract: This project
More informationFuzzy Decision Analysis in Negotiation between the System of Systems Agent and the System Agent in an Agent-Based Model
Fuzzy Decision Analysis in Negotiation between the System of Systems Agent and the System Agent in an Agent-Based Model Paulette Acheson, Cihan Dagli Engineering Management & Systems Engineering Department
More informationDesign of a Fuzzy Rule Base Expert System to Predict and Classify the Cardiac Risk to Reduce the Rate of Mortality
Eth.J.Sci & Technol. 5(2):124-135, 2008 ISSN 1816-3378 Bahir Dar University, April 2008 Design of a Fuzzy Rule Base Expert System to Predict and Classify the Cardiac Risk to Reduce the Rate of Mortality
More informationA Fuzzy Expert System for Heart Disease Diagnosis
A Fuzzy Expert System for Heart Disease Diagnosis Ali.Adeli, Mehdi.Neshat Abstract The aim of this study is to design a Fuzzy Expert System for heart disease diagnosis. The designed system based on the
More informationFuzzy Logic Based Expert System for Detecting Colorectal Cancer
Fuzzy Logic Based Expert System for Detecting Colorectal Cancer Tanjia Chowdhury Lecturer, Dept. of Computer Science and Engineering, Southern University Bangladesh, Chittagong, Bangladesh ---------------------------------------------------------------------***----------------------------------------------------------------------
More informationThe SAGE Encyclopedia of Educational Research, Measurement, and Evaluation Multivariate Analysis of Variance
The SAGE Encyclopedia of Educational Research, Measurement, Multivariate Analysis of Variance Contributors: David W. Stockburger Edited by: Bruce B. Frey Book Title: Chapter Title: "Multivariate Analysis
More informationHuman Immunodeficiency Virus (HIV) Diagnosis Using Neuro-Fuzzy Expert System
ORIENTAL JOURNAL OF COMPUTER SCIENCE & TECHNOLOGY An International Open Free Access, Peer Reviewed Research Journal Published By: Oriental Scientific Publishing Co., India. www.computerscijournal.org ISSN:
More informationCHAPTER 4 ANFIS BASED TOTAL DEMAND DISTORTION FACTOR
47 CHAPTER 4 ANFIS BASED TOTAL DEMAND DISTORTION FACTOR In distribution systems, the current harmonic distortion should be limited to an acceptable limit to avoid heating, losses and malfunctioning of
More informationSpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Applied Sciences and Technology Computational Intelligence Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland SpringerBriefs in Computational
More information! Club!Council!Meeting!Minutes!
! Club!Council!Meeting!Minutes! The!Student!Union!South!Cafeteria!!1:00!pm! September!5,!2014! A) CALL!TO!ORDER!1:11pm! B) APPROVAL!OF!AGENDA!! I) JT!moved!to!add!Stacey!Lucason!and!Zac!Clark!to!the!agenda;!seconded!by!OCF.!!No!objections,!
More informationEdge Detection Techniques Using Fuzzy Logic
Edge Detection Techniques Using Fuzzy Logic Essa Anas Digital Signal & Image Processing University Of Central Lancashire UCLAN Lancashire, UK eanas@uclan.a.uk Abstract This article reviews and discusses
More informationAn SVM-Fuzzy Expert System Design For Diabetes Risk Classification
An SVM-Fuzzy Expert System Design For Diabetes Risk Classification Thirumalaimuthu Thirumalaiappan Ramanathan, Dharmendra Sharma Faculty of Education, Science, Technology and Mathematics University of
More informationSW 9300 Applied Regression Analysis and Generalized Linear Models 3 Credits. Master Syllabus
SW 9300 Applied Regression Analysis and Generalized Linear Models 3 Credits Master Syllabus I. COURSE DOMAIN AND BOUNDARIES This is the second course in the research methods sequence for WSU doctoral students.
More informationConvolutional Coding: Fundamentals and Applications. L. H. Charles Lee. Artech House Boston London
Convolutional Coding: Fundamentals and Applications L. H. Charles Lee Artech House Boston London Contents Preface xi Chapter 1 Introduction of Coded Digital Communication Systems 1 1.1 Introduction 1 1.2
More informationFUZZY INFERENCE SYSTEM FOR NOISE POLLUTION AND HEALTH EFFECTS IN MINE SITE
FUZZY INFERENCE SYSTEM FOR NOISE POLLUTION AND HEALTH EFFECTS IN MINE SITE Priyanka P Shivdev 1, Nagarajappa.D.P 2, Lokeshappa.B 3 and Ashok Kusagur 4 Abstract: Environmental noise of workplace always
More informationFARMINGDALE STATE COLLEGE
FARMINGDALE STATE COLLEGE DEPARTMENT: PSYCHOLOGY PREPARED BY: PSYCHOLOGY DEPT. DATE: FALL 2017 COURSE TITLE: Child Development COURSE CODE: PSY 232 CREDITS: 3 CONTACT HOURS: 45 CATALOG DESCRIPTION: In
More informationA FUZZY LOGIC BASED CLASSIFICATION TECHNIQUE FOR CLINICAL DATASETS
A FUZZY LOGIC BASED CLASSIFICATION TECHNIQUE FOR CLINICAL DATASETS H. Keerthi, BE-CSE Final year, IFET College of Engineering, Villupuram R. Vimala, Assistant Professor, IFET College of Engineering, Villupuram
More informationA Fuzzy expert system for goalkeeper quality recognition
A Fuzzy expert system for goalkeeper quality recognition Mohammad Bazmara 1, Shahram Jafari 2 and Fatemeh Pasand 3 1 School of Electrical and Computer Engineering, Shiraz university, Shiraz,Iran 2 School
More informationPSYC3010 Advanced Statistics for Psychology
PSYC3010 Advanced Statistics for Psychology Unit of Study Code: PSYC3010 Coordinators: REGRESSION - SECTION 1 Dr Sabina Kleitman Office: BM441 Phone: 9351 7703 E- mail: sabina.kleitman@sydney.edu.au ANOVA
More informationStatistical Tolerance Regions: Theory, Applications and Computation
Statistical Tolerance Regions: Theory, Applications and Computation K. KRISHNAMOORTHY University of Louisiana at Lafayette THOMAS MATHEW University of Maryland Baltimore County Contents List of Tables
More informationLinear Regression Analysis
Linear Regression Analysis WILEY SERIES IN PROBABILITY AND STATISTICS Established by WALTER A. SHEWHART and SAMUEL S. WILKS Editors: David J. Balding, Peter Bloomfield, Noel A. C. Cressie, Nicholas I.
More informationPractical Multivariate Analysis
Texts in Statistical Science Practical Multivariate Analysis Fifth Edition Abdelmonem Afifi Susanne May Virginia A. Clark CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint
More informationKeywords Fuzzy Logic, Fuzzy Rule, Fuzzy Membership Function, Fuzzy Inference System, Edge Detection, Regression Analysis.
Volume 6, Issue 3, March 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Modified Fuzzy
More informationThe Analysis of 2 K Contingency Tables with Different Statistical Approaches
The Analysis of 2 K Contingency Tables with Different tatistical Approaches Hassan alah M. Thebes Higher Institute for Management and Information Technology drhassn_242@yahoo.com Abstract The main objective
More informationNon Linear Control of Glycaemia in Type 1 Diabetic Patients
Non Linear Control of Glycaemia in Type 1 Diabetic Patients Mosè Galluzzo*, Bartolomeo Cosenza Dipartimento di Ingegneria Chimica dei Processi e dei Materiali, Università degli Studi di Palermo Viale delle
More informationInternational Journal of Computer Engineering and Applications, Volume XI, Issue VIII, August 17, ISSN
International Journal of Computer Engineering and Applications, Volume XI, Issue VIII, August 17, www.ijcea.com ISSN 2321-3469 COMPARISON OF MAMDANI, SUGENO AND NEURO FUZZY MODELS FOR DIAGNOSIS OF DIABETIC
More informationType II Fuzzy Possibilistic C-Mean Clustering
IFSA-EUSFLAT Type II Fuzzy Possibilistic C-Mean Clustering M.H. Fazel Zarandi, M. Zarinbal, I.B. Turksen, Department of Industrial Engineering, Amirkabir University of Technology, P.O. Box -, Tehran, Iran
More informationBayes Linear Statistics. Theory and Methods
Bayes Linear Statistics Theory and Methods Michael Goldstein and David Wooff Durham University, UK BICENTENNI AL BICENTENNIAL Contents r Preface xvii 1 The Bayes linear approach 1 1.1 Combining beliefs
More informationIdeal of Fuzzy Inference System and Manifold Deterioration Using Genetic Algorithm and Particle Swarm Optimization
Original Article Ideal of Fuzzy Inference System and Manifold Deterioration Using Genetic Algorithm and Particle Swarm Optimization V. Karthikeyan* Department of Electronics and Communication Engineering,
More informationData Mining Application in Diabetes Diagnosis using Biomedical Records of Pathological Attribute
Data Mining Application in Diabetes Diagnosis using Biomedical Records of Pathological Attribute Naila 1, Anuradha Sharma 2 1 P.G. Student, Department of Computer Science & Engineering, Amity University,
More informationArtificial Intelligence for Interactive Media and Games IMGD 400X (B 08) 1. Background and Motivation
Fuzzy Logic Artificial Intelligence for Interactive Media and Games Professor Charles Rich Computer Science Department rich@wpi.edu [Based on Buckland, Chapter 10] IMGD 400X (B 08) 1 Outline Background
More informationC++ in the Lab. Lab Manual to Accompany C++ How to Program, Fourth Edition. H. M. Deitel Deitel & Associates, Inc.
C++ in the Lab Lab Manual to Accompany C++ How to Program, Fourth Edition H. M. Deitel Deitel & Associates, Inc. P. J. Deitel Deitel & Associates, Inc. T. R. Nieto Deitel & Associates, Inc. Prentice Hall
More informationFakultät ETIT Institut für Automatisierungstechnik, Professur für Prozessleittechnik. Dr. Engin YEŞİL. Introduction to Fuzzy Modeling & Control
Fakultät ETIT Institut für Automatisierungstechnik, Professur für Prozessleittechnik Dr. Engin YEŞİL Introduction to Fuzzy Modeling & Control 19.01.2010 1998- Istanbul Technical University Faculty of Electrical
More informationf WILEY ANOVA and ANCOVA A GLM Approach Second Edition ANDREW RUTHERFORD Staffordshire, United Kingdom Keele University School of Psychology
ANOVA and ANCOVA A GLM Approach Second Edition ANDREW RUTHERFORD Keele University School of Psychology Staffordshire, United Kingdom f WILEY A JOHN WILEY & SONS, INC., PUBLICATION Contents Acknowledgments
More informationAvailable online at ScienceDirect. Procedia Computer Science 93 (2016 )
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 93 (2016 ) 431 438 6th International Conference On Advances In Computing & Communications, ICACC 2016, 6-8 September 2016,
More informationVol. 6, No. 3 March 2015 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.
Fuzzy Logic Application to Brain s Diagnosis Ayangbekun O.J, 2 Jimoh Ibrahim A Department of Information Systems, University of Cape Town South Africa 2 Department of Information& Communication Technology,
More informationFuzzy Expert System to Calculate the Strength/ Immunity of a Human Body
Indian Journal of Science and Technology, Vol 9(), DOI: 10.178/ijst/16/v9i/101, November 16 ISSN (Print) : 097-686 ISSN (Online) : 097-6 Fuzzy Expert System to Calculate the Strength/ Immunity of a Human
More informationFuzzy Logic 12/6/11. Outline. Motivation. Motivation
Outline Fuzzy Logic Artificial Intelligence for Interactive Media and Games Professor Charles Rich Computer Science Department rich@wpi.edu [Based on Buckland, Chapter 10] IMGD 4100 (B 11) 1 Background
More informationAppendices to Lab O-2. Investigation of Mercury Green and Yellow Lines, and White Light Fringes. with the Michelson Interferometer
Appendices to Lab O-2 Investigation of Mercury Green and Yellow Lines, and White Light Fringes with the Michelson Interferometer Brian Lim and D. L. Hartill Cornell University, Ithaca, New York 14853,
More informationSPECIAL ISSUE FOR INTERNATIONAL CONFERENCE ON INNOVATIONS IN SCIENCE & TECHNOLOGY: OPPORTUNITIES & CHALLENGES"
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK SPECIAL ISSUE FOR INTERNATIONAL CONFERENCE ON INNOVATIONS IN SCIENCE & TECHNOLOGY:
More informationModeling Health Related Quality of Life among Cancer Patients Using an Integrated Inference System and Linear Regression
International Journal of Pharma Medicine and Biological Sciences Vol. 4, No. 1, January 2015 Modeling Health Related Quality of Life among Cancer Patients Using an Integrated Inference System and Linear
More informationMulti Parametric Approach Using Fuzzification On Heart Disease Analysis Upasana Juneja #1, Deepti #2 *
Multi Parametric Approach Using Fuzzification On Heart Disease Analysis Upasana Juneja #1, Deepti #2 * Department of CSE, Kurukshetra University, India 1 upasana_jdkps@yahoo.com Abstract : The aim of this
More informationPain and Touch. Academic Press. Edited by Lawrence Kruger. Department of Neurobiology University of California, Los Angeles Los Angeles, California
Pain and Touch Edited by Lawrence Kruger Department of Neurobiology University of California, Los Angeles Los Angeles, California San Diego New York Sydney Academic Press London Boston Tokyo Toronto Contributors
More informationKeywords: Adaptive Neuro-Fuzzy Interface System (ANFIS), Electrocardiogram (ECG), Fuzzy logic, MIT-BHI database.
Volume 3, Issue 11, November 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Detection
More informationStatistical Analysis with Missing Data. Second Edition
Statistical Analysis with Missing Data Second Edition WILEY SERIES IN PROBABILITY AND STATISTICS Established by WALTER A. SHEWHART and SAMUEL S. WILKS Editors: David J. Balding, Peter Bloomfield, Noel
More informationArtificial Intelligence For Homeopathic Remedy Selection
Artificial Intelligence For Homeopathic Remedy Selection A. R. Pawar, amrut.pawar@yahoo.co.in, S. N. Kini, snkini@gmail.com, M. R. More mangeshmore88@gmail.com Department of Computer Science and Engineering,
More informationHuman Machine Interface Using EOG Signal Analysis
Human Machine Interface Using EOG Signal Analysis Krishna Mehta 1, Piyush Patel 2 PG Student, Dept. of Biomedical, Government Engineering College, Gandhinagar, Gujarat, India 1 Assistant Professor, Dept.
More informationThe study of behavioral economics includes how market decisions are made and the mechanisms that drive public choice.
Behavioral economics: (Wikipedia, 2014 01 22) Behavioral economics and the related field, behavioral finance, study the effects of social, cognitive, and emotional factors on the economic decisions of
More informationComputer Age Statistical Inference. Algorithms, Evidence, and Data Science. BRADLEY EFRON Stanford University, California
Computer Age Statistical Inference Algorithms, Evidence, and Data Science BRADLEY EFRON Stanford University, California TREVOR HASTIE Stanford University, California ggf CAMBRIDGE UNIVERSITY PRESS Preface
More informationfifth edition Assessment in Counseling A Guide to the Use of Psychological Assessment Procedures Danica G. Hays
fifth edition Assessment in Counseling A Guide to the Use of Psychological Assessment Procedures Danica G. Hays Assessment in Counseling A Guide to the Use of Psychological Assessment Procedures Danica
More informationIII. C. Research Subject and Population III. D. Sample Size III. E. Variable and Operational Definition III. E. 1.
v TABLE OF CONTENT TITLE PAGE... i APPROVAL PAGE... ii AUTHENTICITY STATEMENT... iii PREFACE... iv TABLE OF CONTENT... v LIST OF TABLE... viii LIST OF FIGURE... xi LIST OF APPENDICES... xii LIST OF ABBREVIATIONS...
More informationA Fuzzy Expert System Design for Diagnosis of Prostate Cancer
A Fuzzy Expert System Design for Diagnosis of Prostate Cancer Ismail SARITAS, Novruz ALLAHVERDI and Ibrahim Unal SERT Abstract: In this study a fuzzy expert system design for diagnosing, analyzing and
More informationINTELLIGENT SITUATION AWARENESS SUPPORT SYSTEM
INTELLIGENT SITUATION AWARENESS SUPPORT SYSTEM FOR SAFETY-CRITICAL ENVIRONMENTS MOHSEN NADERPOUR Ph.D. Thesis This thesis is submitted in partial fulfilment of the requirements for the degree of Doctor
More informationFuzzy Logic Technique for Noise Induced Health Effects in Mine Site
Fuzzy Logic Technique for Noise Induced Health Effects in Mine Site Priyanka P Shivdev 1, Nagarajappa.D.P 2, Lokeshappa.B 3, Ashok Kusagur 4 P G Student, Department of Studies in Civil Engineering, University
More informationStudent Notes to. Law & Ethics in Bio-Medical Engineering. Ethical Method of Reasoning. Students should be able to reason about ethical issues
Student Notes to Law & Ethics in Bio-Medical Engineering Ethical Method of Reasoning Students should be able to reason about ethical issues 1 The moral point of view A. What is ethics? B. The world of
More informationModern Regression Methods
Modern Regression Methods Second Edition THOMAS P. RYAN Acworth, Georgia WILEY A JOHN WILEY & SONS, INC. PUBLICATION Contents Preface 1. Introduction 1.1 Simple Linear Regression Model, 3 1.2 Uses of Regression
More informationAdvanced Placement Psychology
Advanced Placement Psychology I. Overview of the Course Advanced Placement (AP) Psychology is designed to offer students the equivalent of an introductory college level course in psychology. The AP Psychology
More informationSTATISTICS APPLIED TO CLINICAL TRIALS SECOND EDITION
STATISTICS APPLIED TO CLINICAL TRIALS SECOND EDITION Statistics Applied to Clinical Trials, Second Edition by TON J. CLEOPHAS, MD, PhD, Associate-Professor, President American College of Angiology, Co-Chair
More informationInternational Journal of Pure and Applied Mathematics
International Journal of Pure and Applied Mathematics Volume 118 No. 9 2018, 253-257 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu CLASSIFICATION
More informationSensory Cue Integration
Sensory Cue Integration Summary by Byoung-Hee Kim Computer Science and Engineering (CSE) http://bi.snu.ac.kr/ Presentation Guideline Quiz on the gist of the chapter (5 min) Presenters: prepare one main
More informationA prediction model for type 2 diabetes using adaptive neuro-fuzzy interface system.
Biomedical Research 208; Special Issue: S69-S74 ISSN 0970-938X www.biomedres.info A prediction model for type 2 diabetes using adaptive neuro-fuzzy interface system. S Alby *, BL Shivakumar 2 Research
More informationContents. Historical Perspectives and Foundations. Acknowledgments. List of Figures List of Tables
Contents Dedication Acknowledgments Foreword Preface List of Figures List of Tables xiii xv xvii xix xxiii xxv SECTION 1 Historical Perspectives and Foundations 1 Overview of the Expressive Therapies Continuum
More informationDECISION ANALYSIS WITH BAYESIAN NETWORKS
RISK ASSESSMENT AND DECISION ANALYSIS WITH BAYESIAN NETWORKS NORMAN FENTON MARTIN NEIL CRC Press Taylor & Francis Croup Boca Raton London NewYork CRC Press is an imprint of the Taylor Si Francis an Croup,
More informationAP Psychology Syllabus Instructor: Location: Phone: Website:
AP Psychology Syllabus Instructor: Thomas L. Vanderburg Location: Haltom High School (Room: A244) Phone: (817) 547-6000 ext. 6269 Email: thomas.vanderburg@birdvilleschools.net Website: http://schools.birdvilleschools.net//domain/1013
More informationBackground Information. Instructions. Problem Statement. HOMEWORK INSTRUCTIONS Homework #2 HIV Statistics Problem
Background Information HOMEWORK INSTRUCTIONS The scourge of HIV/AIDS has had an extraordinary impact on the entire world. The spread of the disease has been closely tracked since the discovery of the HIV
More informationCourse Outline SOCIOLOGY OF MENTAL ILLNESS SOCI Kennesaw State University Fall 2016
Course Outline SOCIOLOGY OF MENTAL ILLNESS SOCI 4445-01 Kennesaw State University Fall 2016 Melvyn L. Fein, PH.D., C.C.S. Social Science., Room 14054 470-578-6599 mfein@kennesaw.edu professionalized.blogspot.com
More informationDayalbagh Educational Institute Soft Computing Edge Cutting Technology Lab (DEISEL)
Dayalbagh Educational Institute From the SelectedWorks of D. K. Chaturvedi Dr. Winter December 26, 2010 Dayalbagh Educational Institute Soft Computing Edge Cutting Technology Lab (DEISEL) D. K. Chaturvedi,
More informationHealth Education (HLED) 1541 Medical Terminology (3 Units) CSU [formerly Health Education 41] Prerequisite: None. Total Hours: 48 hours lecture
Health Education (HLED) 1541 Medical Terminology (3 Units) CSU [formerly Health Education 41] Prerequisite: None Total Hours: 48 hours lecture Prepared by: D. Headrick Reviewed by: G. Golling Date prepared:
More informationStudy of Diet Recommendation System based on Fuzzy Logic and Ontology
Study of Recommendation System based on Fuzzy Logic and Shital V. Chavan Department of Computer Engineering Pimpri Chinchwad College of Engineering Pune-44 S.S. Sambare Department of Computer Engineering
More informationInternational Journal of Computer Sciences and Engineering. Research Paper Volume-5, Issue-6 E-ISSN:
International Journal of Computer Sciences and Engineering Open Access Research Paper Volume-5, Issue-6 E-ISSN: 2347-2693 Application of Fuzzy Logic for Presentation of an Expert Fuzzy System to Diagnose
More informationLos Angeles Valley College Emergency Services Department
Los Angeles Valley College Emergency Services Department Syllabus Administration of Justice 5 Criminal Investigation Fall 2015 Section Number 3020 Tuesdays, 6:45 to 9:55 P.M. (1845-2155 hrs.) INSTRUCTOR
More informationThe Statistical Analysis of Failure Time Data
The Statistical Analysis of Failure Time Data Second Edition JOHN D. KALBFLEISCH ROSS L. PRENTICE iwiley- 'INTERSCIENCE A JOHN WILEY & SONS, INC., PUBLICATION Contents Preface xi 1. Introduction 1 1.1
More informationSocial Psychology. Arun Kumar Singh
Social Psychology Arun Kumar Singh Social Psychology ARUN KUMAR SINGH Former, Professor and Head Postgraduate Department of Psychology Patna University, Patna Delhi-110092 2015 SOCIAL PSYCHOLOGY Arun Kumar
More informationisc ove ring i Statistics sing SPSS
isc ove ring i Statistics sing SPSS S E C O N D! E D I T I O N (and sex, drugs and rock V roll) A N D Y F I E L D Publications London o Thousand Oaks New Delhi CONTENTS Preface How To Use This Book Acknowledgements
More informationNovel Respiratory Diseases Diagnosis by Using Fuzzy Logic
Global Journal of Computer Science and Technology Vol. 10 Issue 13 (Ver. 1.0 ) October 2010 P a g e 61 Novel Respiratory Diseases Diagnosis by Using Fuzzy Logic Abbas K. Ali, Xu De Zhi, Shaker K. Ali GJCST
More informationSample Copyright. Academic Group SELF 1 2. Syllabus Checklist. On completion of this chapter you should be able to understand:
SELF 1 2 Syllabus Checklist On completion of this chapter you should be able to understand: 2.1 Biological influences/bases of behaviour functions of the major parts of the brain hindbrain midbrain forebrain
More informationDiagnosis Of the Diabetes Mellitus disease with Fuzzy Inference System Mamdani
Diagnosis Of the Diabetes Mellitus disease with Fuzzy Inference System Mamdani Za imatun Niswati, Aulia Paramita and Fanisya Alva Mustika Technical Information, Indraprasta PGRI University E-mail : zaimatunnis@gmail.com,
More informationPSYC3010 Advanced Statistics for Psychology
PSYC3010 Advanced Statistics for Psychology Unit of Study Code: PSYC3010 Coordinator: Dr Sabina Kleitman Office: Room 441 Brennan MacCallum Building Phone: 9351 7703 E-mail: sabina.kleitman@sydney.edu.au
More informationHANDOUTS FOR BST 660 ARE AVAILABLE in ACROBAT PDF FORMAT AT:
Applied Multivariate Analysis BST 660 T. Mark Beasley, Ph.D. Associate Professor, Department of Biostatistics RPHB 309-E E-Mail: mbeasley@uab.edu Voice:(205) 975-4957 Website: http://www.soph.uab.edu/statgenetics/people/beasley/tmbindex.html
More informationType-2 Fuzzy Hybrid Expert System For Diagnosis Of Degenerative Disc Diseases
mirabir University of Technology (Tehran Polytechnic) Vol. 45 -. 2 - Fall 23, pp. 53-62 mirabir International Journal of Science & Research )IJ-MISC) Type-2 Fuzzy Hybrid Epert System For Diagnosis Of Degenerative
More informationIndustrial Flow Measurement 3rd Edition. David W. Spitzer
Industrial Flow Measurement 3rd Edition David W. Spitzer Contents Preface WHY MEASURE FLOW? xi ABOUT THE BOOK xv ACKNOWLEDGMENTS xvii Chapter 1 INTRODUCTION 1 Objectives, 1 Prerequisites and Audience,
More informationGOAL SETTING FOR SUSTAINABILITY: A NEW METHOD OF ENVIRONMENTAL EDUCATION
GOAL SETTING FOR SUSTAINABILITY: A NEW METHOD OF ENVIRONMENTAL EDUCATION Lucy.A.Sheehy BSc. (Hons) This thesis is submitted in fulfilment of the requirements for the Degree of Doctor of Philosophy 17 th
More informationKeywords: Diabetes Mellitus, GFR, ESRD, Uncertainty, Fuzzy knowledgebase System, Inference Engine
www.ijcsi.org 239 Design Methodology of a Fuzzy Knowledgebase System to predict the risk of Diabetic Nephropathy Rama Devi.E 1, Dr.Nagaveni.N 2 1 Assistant Professor, Dept of Comp Science, NGM College,
More informationPredictive Model for Likelihood of Survival of Sickle-Cell Anaemia (SCA) among Peadiatric Patients using Fuzzy Logic
VOLUME 3, ISSUE 1 Predictive Model for Likelihood of Survival of Sickle-Cell Anaemia (SCA) among Peadiatric Patients using Fuzzy Logic Adebayo Peter Idowu 1, Theophilus Adesola Aladekomo 2, Kehinde Oladipo
More informationA Practical Approach to Prescribe The Amount of Used Insulin of Diabetic Patients
A Practical Approach to Prescribe The Amount of Used Insulin of Diabetic Patients Mehran Mazandarani*, Ali Vahidian Kamyad** *M.Sc. in Electrical Engineering, Ferdowsi University of Mashhad, Iran, me.mazandarani@gmail.com
More informationEcological Statistics
A Primer of Ecological Statistics Second Edition Nicholas J. Gotelli University of Vermont Aaron M. Ellison Harvard Forest Sinauer Associates, Inc. Publishers Sunderland, Massachusetts U.S.A. Brief Contents
More informationIJREAS VOLUME 4, ISSUE 9 (September 2014) (ISSN ) IMPACT FACTOR FUZZY EXPERT SYTEM FOR DIAGNOSIS OF SICKLE CELL ANEMIA ABSTRACT
FUZZY EXPERT SYTEM FOR DIAGNOSIS OF SICKLE CELL ANEMIA Nidhi Mishra* Dr.P. Jha** ABSTRACT The logical thinking of medical practitioners plays an important role in diagnostic decisions. The diagnostic decisions
More informationESTHETIC PRINCIPLES. Pascal Magne Dr Med Dent PhD
I. Gingival health II. Interdental closure III. Tooth axis IV. Zenith of the gingival seam V. Balance of the gingival levels VI. Level of the interdental contact VII. Relative tooth dimensions VIII. Basic
More information