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Fuzzy information and decision processes

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Published by North-Holland, Sole distributors for the U.S.A. and Canada, Elsevier Science Pub. Co. in Amsterdam, New York, New York .
Written in English


  • Statistical decision.,
  • Fuzzy sets.

Book details:

Edition Notes

Statementedited by Madan M. Gupta and Elie Sanchez.
ContributionsGupta, Madan M., Sanchez, Elie, 1944-
LC ClassificationsQA279.4 .F89 1982
The Physical Object
Paginationxxi, 451 p. :
Number of Pages451
ID Numbers
Open LibraryOL3494422M
ISBN 100444864911
LC Control Number82014367

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  Description Fuzzy Sets and Their Applications to Cognitive and Decision Processes contains the proceedings of the U.S.-Japan Seminar on Fuzzy Sets and Their Applications, held at the University of California in Berkeley, California, on July , Book Edition: 1. This chapter presents an approach of making fuzzy models of the memorizing-, forgetting- and inference processes that are essentially important in the human decision-making process. It illustrates a block diagram expression of a whole model of human decision making system, mapping expressions of experience process, memory process, and inference process based on memory. Fuzzy information and decision processes / edited by Madan M. Gupta and Elie Sanchez | National Library of Australia We’re delighted to be able to increase our reading room services . This book addresses the latest research and applications of fuzzy management methods for business decisions.

Introduction This monograph is a treatment on optimal fuzzy rationality as an enveloping of decision-choice rationalities where limited information, vagueness, ambiguities and inexactness are essential characteristics of our knowledge structure and reasoning processes.   The proposed approach from this paper presents advantages of fuzzy approach, in comparison with other paradigm and presents a particular way in which fuzzy logic can emerge in decision making process and planning process with implication, as a simulation, in manufacturing - involved in measuring performance of advanced manufacturing systems. Fuzzy optimization is one of the best tools in decision making. This chapter covers the concept of fuzziness, fuzzy sets, fuzzy membership and the features of membership functions. Also is described is the classification of fuzzy optimization. Then, decision making and various models for decision making under fuzzy environments are discussed. Introduction This book is the proceedings of the Third Annual Conference on Fuzzy Information and Engineering (ACFIE) from Dec. , in Haikou, China.

Request PDF | Fuzzy Decision-Making of a Process for Quality Management | Problem solving and decision-making are important skills for business and life. Good decision . This book contains the successful invited submissions [1–21] to a Special Issue of Symmetry on the subject area of “Fuzzy Techniques for Decision Making”. We invited contributions addressing novel techniques and tools for decision making (e.g., group or. The medical decision-making process is fuzzy in its nature. The physician handles linguistic concepts in deciding the diagnosis and prognosis. The conversion from this fuzzy nature into crisp real world outcome causes the loss of precision. Abstract By decision-making in a fuzzy environment is meant a decision process in which the goals and/or the constraints, but not necessarily the system under control, are fuzzy in nature. This means that the goals and/or the constraints constitute classes of alternatives whose boundaries are .