Fuzzy Logic for the Management of Uncertainty
Published on 30. July 1992
Book
Hardback
686 pages
978-0-471-54799-0 (ISBN)
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.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Ill.
Dimensions
Height: 241 mm
Width: 161 mm
Weight
1106 gr
ISBN-13
978-0-471-54799-0 (9780471547990)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
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.