Fuzzy logic for the management of uncertainty
Author(s)
Bibliographic Information
Fuzzy logic for the management of uncertainty
Wiley, c1992
Available at 59 libraries
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  Iwate
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Reasoning based on approximate or uncertain information is an essential human ability which should be adequately reflected in any intelligent system intended to emulate human behaviour. However, until recently the study of the field of fuzzy logic has only been seriously undertaken in Japan where it is widely applied. Europe and the USA are now beginning to increase their funding of fuzzy logic research and development. Reflecting this new interest, this volume attempts to cover virtually all main aspects of fuzzy logic and related topics.
Table of Contents
- Partial table of contents:
- ISSUES IN THE MANAGEMENT OF UNCERTAINTY
- A Survey of Uncertain and Approximate Inference (R. Neapolitan)
- Rough Sets: A New Approach to Vagueness (Z. Pawlak)
- ASPECTS OF FUZZY LOGIC: THEORY AND IMPLEMENTATIONS
- LT-Fuzzy Logics (H. Rasiowa & N. Cat Ho)
- On Fuzzy Intuitionistic Logic (E. Turunen)
- On Modifier Logic (J. Mattila)
- FUZZY LOGIC FOR APPROXIMATE REASONING
- Presumption, Prejudice, and Regularity in Fuzzy Material Implication (T. Whalen & B. Schott)
- Inference for Information Systems Containing Probabilistic and Fuzzy Uncertainties (J. Baldwin)
- FUZZY LOGIC FOR KNOWLEDGE REPRESENTATION AND ELICITATION
- Approximate Reasoning in Diagnosis, Therapy, and Prognosis (A. Rocha, et al.)
- Elementary Learning in a Fuzzy Expert System (J. Buckley)
- KNOWLEDGE-BASED SYSTEMS USING FUZZY LOGIC
- Structured Local Fuzzy Logics in MILORD (J. Agustm, et al.)
- The Validation of Fuzzy Knowledge-Based Systems (A. Chang & L. Hall)
- FUZZY LOGIC FOR INTELLIGENT DATABASE MANAGEMENT SYSTEMS
- Fuzzy Querying in Conventional Databases (P. Bosc & O. Pivert)
- Index.
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