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Fuzzy Logic -  F. Martin McNeill,  Ellen Thro

Fuzzy Logic (eBook)

A Practical Approach
eBook Download: PDF
2014 | 1. Auflage
312 Seiten
Elsevier Science (Verlag)
978-1-4832-6622-0 (ISBN)
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Fuzzy Logic: A Practical Approach focuses on the processes and approaches involved in fuzzy logic, including fuzzy sets, numbers, and decisions. The book first elaborates on fuzzy numbers and logic, fuzzy systems on the job, and Fuzzy Knowledge Builder. Discussions focus on formatting the knowledge base for an inference engine, personnel detection system, using a knowledge base in an inference engine, fuzzy business systems, industrial fuzzy systems, fuzzy sets and numbers, and quantifying word-based rules. The text then elaborates on designing a fuzzy decision and Fuzzy Thought Amplifier for complex situations. Topics include origins of cognitive maps, Fuzzy Thought Amplifier, training a map to predict the future, introducing the Fuzzy Decision Maker, and merging interests. The publication takes a look at fuzzy associative memory, fuzzy sets as hypercube points, and disk files and descriptions, including Fuzzy Thought Amplifier, Fuzzy Decision Maker, and composing and creating a memory. The text is a valuable source of data for researchers interested in fuzzy logic.
Fuzzy Logic: A Practical Approach focuses on the processes and approaches involved in fuzzy logic, including fuzzy sets, numbers, and decisions. The book first elaborates on fuzzy numbers and logic, fuzzy systems on the job, and Fuzzy Knowledge Builder. Discussions focus on formatting the knowledge base for an inference engine, personnel detection system, using a knowledge base in an inference engine, fuzzy business systems, industrial fuzzy systems, fuzzy sets and numbers, and quantifying word-based rules. The text then elaborates on designing a fuzzy decision and Fuzzy Thought Amplifier for complex situations. Topics include origins of cognitive maps, Fuzzy Thought Amplifier, training a map to predict the future, introducing the Fuzzy Decision Maker, and merging interests. The publication takes a look at fuzzy associative memory, fuzzy sets as hypercube points, and disk files and descriptions, including Fuzzy Thought Amplifier, Fuzzy Decision Maker, and composing and creating a memory. The text is a valuable source of data for researchers interested in fuzzy logic.

Front Cover 1
Fuzzy Logic: A Practical Approach 4
Copyright Page 5
Dedication 6
Table of Contents 8
FOREWORD 16
CHAPTER 1. THE FUZZY WORLD 18
APPLES, ORANGES, OR IN BETWEEN? 20
IS THERE LIFE BEYOND MATH? 24
THE USES OF FUZZY LOGIC 30
FUZZY CONTROL SYSTEMS 30
THE VALUE OF FUZZY SYSTEMS 32
FUZZY DECISION-MAKING 34
FUZZINESS AND ASIAN NATIONS 34
FUZZY SYSTEMS AND UNCERTAINTY 35
FUZZY SYSTEMS AND NEURAL NETWORKS 38
CHAPTER 2. FUZZY NUMBERS AND LOGIC 40
FUZZY NUMBERS 42
FUZZY SETS 49
CRISP AND FUZZY LOGIC 63
AS-THEN AND AS-DO RULES—A SNEAK PREVIEW 66
QUANTIFYING WORD-BASED RULES 69
CHAPTER 3. FUZZY SYSTEMS ON THE JOB 74
FUZZY TOOLS 75
FUZZY SYSTEMS 76
CREATING A FUZZY CONTROL SYSTEM 79
FUZZY BUSINESS SYSTEMS 93
INDUSTRIAL FUZZY SYSTEMS 95
FUZZY-NEURO SEWAGE PUMPING STATION 96
FUZZY INSULIN INFUSION SYSTEM FOR DIABETICS 96
FUZZY CONSUMER PRODUCTS 97
CHAPTER 4. FUZZY KNOWLEDGE BUILDER 100
KNOWLEDGE BUILDER'S DESIGN 101
LUNAR LANDER 106
PERSONNEL DETECTION SYSTEM 127
FORMATTING THE KNOWLEDGE BASE FOR AN INFERENCE ENGINE 133
USING A KNOWLEDGE BASE IN AN INFERENCE ENGINE 135
CHAPTER 5. DESIGING A FUZZY DECISION 138
THE DECISION PROCESS 139
INTRODUCING THE FUZZY DECISION MAKER 140
DECIDING WHICH COLLEGE TO ATTEND 141
REGIONAL TRANSPORTATION SYSTEM 154
MERGING INTERESTS 164
INSIDE THE FUZZY DECISION MAKER 174
CHAPTER 6. FUZZY THOUGHT AMPLIFIER™ FOR COMPLEX SITUATIONS 180
DYNAMIC COMPLEXITIES IN EVERYDAY LIFE 181
ORIGINS OF COGNITIVE MAPS 182
FUZZY THOUGHT AMPLIFIER 187
SIMPLE FUZZY THOUGHT AMPLIFIERS 188
CATPLANT 195
HEALTH CARE SYSTEM 205
TRAINING A MAP TO PREDICT THE FUTURE 214
HOW THE FUZZY THOUGHT AMPLIFIER™ WORKS 220
CONCLUDING THOUGHTS 221
APPENDIX A: FUZZY ASSOCIATIVE MEMORY (FAM) 224
FAMCALC 226
COMPOSING A MEMORY 226
CREATING A MEMORY 228
HOW FAMCalc WORKS 229
APPENDIX B: FUZZY SETS AS HYPERCUBE POINTS 232
SETS AS POINTS 232
USING KOSKOCALC 234
INTERACTION OF A SET AND ITS COMPLEMENT 235
FAR CRISP AND NEAR CRISP 238
MEASURING A SET'S SIZE 238
INTERACTION OF TWO FUZZY SETS 240
APPENDIX C: DISK FILES AND DESCRIPTIONS 246
LIBRARY FILES 246
DR. FUZZY'S CALCULATORS 247
FUZZY KNOWLEDGE BUILDER™ FILES 247
FUZZY DECISION MAKER 250
FUZZY THOUGHT AMPLIFIER 252
README FILE 252
APPENDIX D: INFERENCE ENGINE PROGRAMS 254
QUICKBASIC SIMPLE INFERENCE ENGINE 254
QUICKBASIC FAST INFERENCE ENGINE 266
C LANGUAGE INFERENCE ENGINE 278
FUZZ-C INFERENCE ENGINE 282
MOTOROLA 68HC05 ASSEMBLY SIMPLE INFERENCE ENGINE 283
APPENDIX E: OTHER FUZZY ARCHITECTURE 284
FLOPS 284
BADGER—AN ANIMAL GUESSING GAME 286
STATE MACHINES 287
BIBLIOGRAPHY 292
ARTICLES 292
BOOKS 293
CONFERENCE PROCEEDINGS 295
INDEX 296

Erscheint lt. Verlag 10.5.2014
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
ISBN-10 1-4832-6622-2 / 1483266222
ISBN-13 978-1-4832-6622-0 / 9781483266220
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