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Terano T., Asai K., Sugeno M. — Fuzzy systems theory and its applications
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Название: Fuzzy systems theory and its applicationsАвторы: Terano T., Asai K., Sugeno M.Аннотация: This book provides a concise overview of fuzzy systems theory and its applications. Written by the leading scientists behind the successful Japanese fuzzy systems research effort, the goal of the book is to introduce fuzzy systems as a practical tool. After presenting the basics of fuzzy systems theory, the book presents practical applications of fuzzy systems theory in a wide variety of fields, including artificial intelligence and expert systems, diagnosis, control, robotics, image recognition, databases, and information retrieval.
Язык: Рубрика: Computer science /Статус предметного указателя: Готов указатель с номерами страниц ed2k: ed2k stats Год издания: 1992Количество страниц: 268Добавлена в каталог: 09.12.2005Операции: Положить на полку |
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29 29 Additivity 139 Algebraic product 26 Algebraic sum 26 Ambiguity 19 Ambiguous query 219 Amount of fuzzy information 94 Antecedent 160 Arm robot 187 Attribute 218 Attribute value 218 Average error probability of discrimination 96 Bounded difference 26 Bounded sum 26 47 Bounded-product 49 Boundedness 138 Buckles and Petry’s fuzzy database 222 Category 105 Category weight 107 118 Characteristic function 23 Cluster 209 Complement 24 27 Complete fuzzy information source 142 composition 44 Compositional rule of inference 47 Concept of probabilistic set 175 Concept of vagueness 192 Conditional fuzzy entropy 94 Conformity (degree of) 153 Consequent 160 Constraint 178 Continuous fuzzy variable 160 Continuousness 138 Control block 197 Converse fuzzy relation 45 Conversion to fuzzy set 6 Convex fuzzy set 29 131 Correspondence analysis 114 Crisp set 22 Data model 217 Database 217 DATAPLAN 219 de Morgan’s law 25 Decision point 178 Degree of conformity 153 Degree of dissimilarity 210 Degree of inclusion 21 Denotational semantics 221 Density of fuzzy measure 141 Direct product of fuzzy set 29 Discrete fuzzy variable 161 Dispersed control 168 Dissimilarity (degree of) 210 Domain of the attribute 218 Dominated class 64 Double negation law 25 Drastic product 49 Dual scaling 114 Eigenvalue 121 Eigenvalue equation 118 Eigenvector 121 Equivalence relation 25 Evaluation value 178 Extended fuzzy expression 175 192 Extension Principle 31 71 extent 21 External standard 109 Fault tree analysis 199 Final state 178 FTA 199 Fuzziness 8 Fuzzy ISODATA 210 Fuzzy — Bayes decision method 90 Fuzzy — Bayes rules 91 Fuzzy, action 88 Fuzzy, C-means method 210 Fuzzy, clustering 209 Fuzzy, condition 88 Fuzzy, control 159 165 Fuzzy, control rule 160 Fuzzy, controller 160 Fuzzy, correlation coefficient 108 Fuzzy, covariance 108 Fuzzy, data 75 102 Fuzzy, database 219 Fuzzy, decision set 126 Fuzzy, discrimination roles 97 Fuzzy, dynamic programming 178 Fuzzy, entropy 85 Fuzzy, event 86 102 Fuzzy, graph 43 Fuzzy, group 102 Fuzzy, inequalities 128 Fuzzy, inference 160 Fuzzy, information 94 Fuzzy, information source 91 94 Fuzzy, integral 140 Fuzzy, integral model 142 Fuzzy, linear ordering 65 Fuzzy, linear programming problems 128 Fuzzy, linear programming problems using fuzzy inequalities 128 Fuzzy, linear programming problems using the linear interval method 131 Fuzzy, logic 9 Fuzzy, lower bound 64 Fuzzy, mathematical programming 125 Fuzzy, matrix 43 Fuzzy, mean 103 108 Fuzzy, measure 138 139 Fuzzy, measure theory 9 Fuzzy, model 166 Fuzzy, model of process 166 Fuzzy, number 33 70 Fuzzy, order relation 59 Fuzzy, partial correlation coefficient 108 Fuzzy, partial order relation 63 Fuzzy, preorder relation 67 Fuzzy, probability 85 Fuzzy, propositions 37 Fuzzy, quantification theory 105 Fuzzy, quantification theory II 109 Fuzzy, quantification theory III 114 Fuzzy, quantification theory IV 119 Fuzzy, query 219 Fuzzy, reasoning 41 Fuzzy, regression model 69 Fuzzy, relation 39 41 42 46 Fuzzy, relational equation 41 55 Fuzzy, set 20 21 Fuzzy, set theory 9 Fuzzy, statistical decision making 85 Fuzzy, systems theory applications in Japan 12 Fuzzy, systems theory, applications 10 Fuzzy, upper bound 64 Fuzzy, variable 37 160 Fuzzy, variance 103 Fuzzy, variance ratio 109 Goal of model 6 Grade 21 Grasping block 197 Greatest lower bound 65 Group 102 Group of relation 218 Hard cl’ustering 209 Human reliability model 170 Human simulation 7 Human system 2 Human/machine system 2 Human/machine system, high-level 3 Human/machine system, information exchange function 188 190 Identity relation 45 Image pattern recognition 203 Implication 39 Inclusion (degree of) 21 Inclusion relation 25 Industrial robot 187 Inference block 194 Inference, method 1 160 Inference, method 2 162 Inference, method 3 163 Input 160 Intelligent information processing function 190 Intelligent information-processing function 188 Intelligent robot 188 Interpretation block 196 Intersection 24 Intuitive logic 221 Inverse image 32 Inverse problem of fuzzy relational equation 149 Japanese applications research 14 Least upper bound 65 Linear possibility regression model 72 Linear possibility system 69 Linguistic control 168 Linguistic variable 175 Logical control 168 Logical model 4 Machine language 190 Machine system 2 Mamdani’s method 48 Man-machine system 174 Mathematical model 3 4 Max problem 76 Max-min composition 44 Max-star composition 45 Maximized solution 126 Membership function 21 Min problem 76 MMS 174 Model logic 221 Modus ponen 47 Monitor 175 Monotony 138 Motor function 190 Multi dimensional scaling 119 Multistage decision process 179 Multivariate analysis 101 Necessity function 145 Nonfuzzy set 22 Normal fuzzy set 28 Objective function 210 Observation block 193 Organizations for applications research 11 Output 160 Parallel control 168 Parallel redundance 174 Partial correlation coefficient 109 Partition matrix 210 Partition tree 61 Path-determining robot 187 Pattern classification 114 Personal Computer 188 Personal robot 188 Placement inference robot 201 Possibilistic linear programming problems 132 Possibility distribution 72 Possibility measure 70 Predicate logic 4 Probabilistic information source 91 Probabilistic set (concept of) 175 Probability of fuzzy event 86 103 Probability theory 8 Process action 167 Process rule 167 Proposition 5 Qualification block 194 Qualitative category 105 Qualitative descriptive variables 105 Qualitative discrimination analysis 109 Qualitative expression 101 Qualitative regression analysis 105 Quantification method 101 Quantification of meaning 20 Quantified meaning 20 Randomness 8 Regiession analysis with fuzzy data 80 Regiession analysis with standard data 77 Relational model 218 Relations of set theory 218 Relationship 4 Resemblance relation 62 Resolution principle 29 Robot 187 Robot, control block 197 Robot, language 190 Sensory function 188 190 Set, arrangement of multistage decision process 179 Set, function 138 SET, model 5 Similarity relation 59 222 Size of fuzzy set 104 Standard data 73 State transition 178 Statistics 104 Structural model 4 170 Sub additivity 139 Subjectivity factor 9 Superior additivity 139 System State 178 Total variation for fuzzy groups 104 Triangular fuzzy number 71 Tuple 218 Type II fuzzy set 175 Type N fuzzy set 175 uniform 4 union 24 Universe relation 46 Vagueness 176 191 192 Variation between groups 104 Variation within groups 104 Zadeh’s method 48 Zero relation 45
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