Approximate Reasoning in Intelligent Systems, Decision and Control (eBook)

E. Sanchez, L.A. Zadeh (Herausgeber)

eBook Download: PDF

2014 | 1. Auflage
202 Seiten
Elsevier Science (Verlag)
978-1-4832-9438-4 (ISBN)

Infos

Documents realistic applications of approximate reasoning techniques, with emphasis placed on operational systems. The papers presented explore new areas of practical decision-making and control systems by considering important aspects of fuzzy logic theory and the latest developments in the field of expert systems. Specific fields of application covered include modelling and control, management, planning, diagnostics, finance and software. Contains 12 papers.

Inhalt

Front Cover 1
Approximate Reasoning in Intelligent Systems, Decision and Control 6
Copyright Page 7
Table of Contents 12
Preface 8
Publisher's Note 10
Chapter 1. Fuzzy Hardware Systems of Tomorrow 14
ABSTRACT 14
KEYWORDS 14
I. INTRODUCTION 14
II. WHAT IS DESIRED FOR FUZZY HARDWARE SYSTEMS? 15
III. BASIC FUZZY LOGIC FUNCTIONS 16
IV. BASIC FUZZY LOGIC FUNCTION CIRCUITS AND MULTIPLEFANOUTCIRCUIT EMPLOYING CURRENT MIRRORS 18
V. DESIGN CRITERIA 24
VI. SPICE II SIMULATION 28
VII. PROSPECT AND SITUATION OF FUZZY HARDWARE SYSTEMS 32
VIII. CONCLUSIONS 33
REFERENCES 33
Chapter 2. Functional Requirements for a Fuzzy Expert System Shell 34
ABSTRACT 34
KEYWORDS 34
INTRODUCTION 35
CURRENT DESIGN OF FLOPS 35
DISCUSSION 42
REFERENCES 42
Chapter 3. An Uncertainty Calculus for Expert Systems 46
ABSTRACT 46
INTRODUCTION 47
UNCERTAINTY AND INCOMPLETENESS OF INFORMATION 49
SUPPORT LOGIC PROGRAMMING 52
KNOWLEDGE REPRESENTATION 55
SUPPORT LOGIC CALCULUS 57
RULES FOR SUPPORT LOGIC CALCULUS 62
EXAMPLES OK SUPPORT LOGIC PROGRAMMING 63
REFERENCES 65
Chapter 4. Automatic Generation of Verbal Comments on Results of Mathematical Modelling 68
ABSTRACT 68
KEYWORDS 68
INTRODUCTION 68
THEORETICAL ASSUMPTIONS 69
GENERAL FORM OF THE VERBAL COMMENTS 73
RESULTS OF EXPERIMENTS AND FUTURE DEVELOPMENTS 79
REFERENCES 80
Chapter 5. Portfolio Analysis Using Possibility Distributions 82
ABSTRACT 82
KEYWORDS 82
INTRODUCTION 82
BACKGROUND 84
THE PROBLEM 85
SOLUTION 87
SUMMARY AND CONCLUSIONS 88
REFERENCES 89
Chapter 6. A Fuzzy Decision Support System for Strategic Planning 90
ABSTRACT 90
KEYWORDS 90
INTRODUCTION 90
A FUZZY DECISION SUPPORT SYSTEM 92
TESTING THE PROTOTYPE 95
FUTURE DEVELOPMENTS 100
CONCLUSION 102
REFERENCES 102
Chapter 7. A Clinical Alarm System Using Techniques from Artificial Intelligence and Fuzzy Set Theory 104
ABSTRACT 104
KEYWORDS 104
INTRODUCTION 104
THE CARDIT SURGICAL INTENSIVE CARE UNIT 105
CONVENTIONAL COMPUTER-BASED ALARM SYSTEMS 106
PRAGMATIC CONSIDERATIONS 108
BASIC APPROACH 109
FUZZIFYING THE ALARM SYSTEM 112
COMBINING EVIDENCE IN MULTIVARIABLE ALARMS 115
SUMMARY 116
REFERENCES 117
Chapter 8. Learning from Examples in Presence of Uncertainty 118
ABSTRACT 118
KEYWORDS 118
1. INTRODUCTION 118
2. SYSTEM PHILOSOPHY AND OVERVIEW 120
3. KERNEL ACQUISITION 122
4. APPROXIMATE REASONING SCHEME 128
5. AN EXAMPLE OF RULE ACQUISITION 131
6. CONCLUSIONS 133
REFERENCES 136
Chapter 9. Use of Fuzzy Logic in a Rule-based System in Petroleum Geology 138
ABSTRACT 138
KEYWORDS 138
INTRODUCTION 138
PRESENTATION OF SPII-2 140
APPLICATION OF SPII-2 TO THE PROSPECT APPRAISAL PROBLEM 150
CONCLUDING REMARKS 153
REFERENCES 154
APPENDIX 1 : BACKGROUND ON POSSIBILITY THEORY 155
APPENDIX 2 : A SAMPLE OF THE KNOWLEDGE BASE 156
Chapter 10. Rule-based Process Control Using Fuzzy Logic 158
ABSTRACT 158
KEYWORDS 158
INTRODUCTION 158
RULE-BASED CONTROL 160
SELF-ORGANISING CONTROLLER 166
APPLICATIONS AND PERFORMANCE OF RULE-BASED CONTROLLERS 168
CONCLUDING REMARKS 170
REFERENCES 171
Chapter 11. Diagnosis Based on Subjective Informationin a Solar Energy Plant 172
ABSTRACT 172
GENESIS OF THE PROBLEM 172
EXPERIMENTAL INDUSTRIAL SITE 174
FUZZY DIAGNOSIS 175
KNOWLEDGE ACQUISITION PROCEDURE 176
MAN-MACHINE COMMUNICATION 181
CONCLUSION 185
REFERENCES 185
Chapter 12. Diagnostics of Faulty States in Complex Physical Systems Using Fuzzy Relational Equations 188
ABSTRACT 188
KEYWORDS 188
1. INTRODUCTION 188
2. FUZZY DIAGNOSTICS PRINCIPLES 190
3. RECOGNITION OF SIGNS OF FAILURES 193
4. RECOGNITION OF UNEXPECTED FAILURES 194
5. APPLICATIONS OF FUZZY LOGIC ELEMENTS TO DIAGNOSTIC FURPOSES 198
6. SAMPLE RESULTS 200
7. CONCLUSIONS 204
8. ACKNOWLEDGEMENT 205
9. LITERATURE 205
Keyword Index 208

Produkt-Details

• Erscheint lt. Verlag: 23.5.2014
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik
• ISBN-10: 1-4832-9438-2 / 1483294382
• ISBN-13: 978-1-4832-9438-4 / 9781483294384