Fuzzy sets and applications : selected papers
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Bibliographic Information
Fuzzy sets and applications : selected papers
Wiley, c1987
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"A Wiley-Interscience publication."
S.Ovchinnikov, R.M. Tong, H.T. Nguyen
Description and Table of Contents
Description
This volume contains the most significant papers written by L.A. Zadeh, who in 1965 introduced the concept of a fuzzy set. Fuzzy set theory has become the foundation for the development of the fields of artificial intelligence and expert systems, especially in the applications of knowledge-based systems. As such, Zadeh's work has influenced researchers around the world. Zadeh has cooperated with editors in choosing the papers presented here, and the editors have provided an introduction for each paper. Topics covered include probability measures of fuzzy events, similarity relations and fuzzy orderings, a fuzzy- algorithmic approach to the definition of complex or imprecise concepts, and much more.
Table of Contents
- Coping with the Imprecision of the Real World: An Interview with L.A
- Zadeh
- Fuzzy Sets
- Probability Measures of Fuzzy Events
- Decision Making in a Fuzzy Environment
- Similarity Relations and Fuzzy Orderings
- Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
- A Fuzzy-Algorithmic Approach to the Definition of Complex or Imprecise Comcepts
- Fuzzy Sets as a Basis for a Theory of Possibility
- The Concept of a Linguistic Variable and Its Application to Approximate Reasoning (Part 1)
- The Concept of a Linguistic Variable and Its Application to Approximate Reasoning (Part 2)
- The Concept of a Linguistic Variable and Its Application to Approximate Reasoning (Part 3)
- A Theory of Approximate Reasoning
- The Role of Fuzzy Logic in the Management of Uncertainty in Expert Systems
- Syllogistic Reasoning in Fuzzy Logic and its Application to Usuality and Reasoning with Dispositions
- A Fuzzy-Set-Theoretic Interpretation of Linguistic Hedges
- PRUF-A Meaning Representation Language for Natural Languages
- A Computational Approach to Fuzzy Quantifiers in Natural Language
- A Theory of Commonsense Knowledge
- Test-Score Semantics as a Basis for a Computational Approach to the Representation of Meaning.
by "Nielsen BookData"