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| Preface | |
| Note to the Reader | |
| Acknowledgments | |
| Introduction | p. 1 |
| Bibliography of Papers | p. 17 |
| Fuzzy sets | p. 19 |
| Fuzzy sets and systems | p. 35 |
| Abstraction and pattern classification | p. 44 |
| Shadows of fuzzy sets | p. 51 |
| Fuzzy algorithms | p. 60 |
| Note on fuzzy languages | p. 69 |
| Towards a theory of fuzzy systems | p. 83 |
| Quantitative fuzzy semantics | p. 105 |
| A rationale for fuzzy control | p. 123 |
| On fuzzy algorithms | p. 127 |
| Fuzzy languages and their relation to human and machine intelligence | p. 148 |
| On fuzzy mapping and control | p. 180 |
| A system-theoretic view of behavior modification | p. 185 |
| On the analysis of large-scale systems | p. 195 |
| Calculus of fuzzy restrictions | p. 210 |
| Fuzzy logic and approximate reasoning | p. 238 |
| The linguistic approach and its application to decision analysis | p. 260 |
| Local and fuzzy logics | p. 283 |
| Linguistic characterization of preference relations as a basis for choice in social systems | p. 336 |
| Fuzzy sets and their application to pattern classification and clustering analysis | p. 355 |
| Fuzzy sets | p. 394 |
| Fuzzy sets and information granularity | p. 433 |
| Liar's paradox and truth qualification principle | p. 449 |
| Fuzzy systems theory: A framework for the analysis of humanistic systems | p. 464 |
| Possibility theory and soft data analysis | p. 481 |
| Test-score semantics for natural languages and meaning representation via PRUF | p. 542 |
| A note on prototype theory and fuzzy sets | p. 587 |
| A fuzzy-set-theoretic approach to the compositionality of meaning: Propositions, dispositions and canonical forms | p. 594 |
| Precisiation of meaning via translation into PRUF | p. 614 |
| Fuzzy probabilities | p. 643 |
| A formalization of commonsense reasoning based on fuzzy logic | p. 653 |
| Management of uncertainty in expert systems | p. 658 |
| A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination | p. 674 |
| Outline of a computational approach to meaning and knowledge representation based on the concept of a generalized assignment statement | p. 680 |
| Outline of a theory of usuality based on fuzzy logic | p. 694 |
| A computational theory of dispositions | p. 713 |
| Fuzzy sets, usuality and commonsense reasoning | p. 738 |
| Dispositional logic | p. 759 |
| Knowledge representation in fuzzy logic | p. 764 |
| Fuzzy logic, neural networks and soft computing | p. 775 |
| The role of fuzzy logic in modeling, identification and control | p. 783 |
| Soft computing and fuzzy logic | p. 796 |
| Probability theory and fuzzy logic are complementary rather than competitive | p. 805 |
| The birth and evolution of fuzzy logic, soft computing, and computing with words: A personal perspective | p. 811 |
| Subject Index | p. 821 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
