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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 applications
Авторы: 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.
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Рубрика: Computer science /
Статус предметного указателя: Готов указатель с номерами страниц
ed2k: ed2k stats
Год издания: 1992
Количество страниц: 268
Добавлена в каталог: 09.12.2005
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Предметный указатель
cut 29
level-set 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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