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Fuzzy sets, decision making, and expert systems
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TLDR
This book discusses the Logic of Decisions, Behavioral Decision Theory, and Decision Technology, as well as an Interactive Decision Support System for Fuzzy and Semi-fuzzy Multi-Objective Problems.Abstract:
1 Introduction.- The Logic of Decisions, Behavioral Decision Theory, and Decision Technology.- Optimization, Outranking, Evaluation.- Basics of Fuzzy Set Theory.- 2 Individual Decision Making in Fuzzy Environments.- Symmetrical Models.- Nonsymmetrical Models.- Fuzzy Utilities.- 3 Multi-Person Decision Making in Fuzzy Environments.- Basic Models.- Fuzzy Games.- Fuzzy Team Theory.- Fuzzy Group Decision Making.- 4 Fuzzy Mathematical Programming.- Fuzzy Linear and Nonlinear Programming.- Fuzzy Multi-Stage Programming.- 5 Multi-Criteria Decision Making in Ill-Structured Situations.- Fuzzy Multi-Criteria Programming.- Multi-Attribute Decision Making (MADM).- Fuzzy Outranking.- 6 Operators and Membership Functions in Decision Models.- Axiomatic, Pragmatic, and Empirical Justification.- The Measurement of Membership Functions.- Selecting Appropriate Operators in Decision Models.- 7 Decision Support Systems.- Knowledge-Based vs. Data-Based Systems.- Linguistic Variables, Fuzzy Logic, Approximate Reasoning.- An Interactive Decision Support System for Fuzzy and Semi-fuzzy Multi-Objective Problems.- Expert Systems and Fuzzy Sets.read more
Citations
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Journal ArticleDOI
An interactive fuzzy satisficing method for random fuzzy multiobjective linear programming problems through fractile criteria optimization with possibility
TL;DR: It is shown that the transformed deterministic problems for obtaining Pareto optimal solutions can be besolved by using some convex programming techniques.
Journal ArticleDOI
A multiobjective routing problem under fuzziness
TL;DR: It is argued that the use of fuzzy set theory will generally provide models of better proximity to the systems modelled than the traditional approaches and can be taken into account by using fuzzy set notations.
Journal ArticleDOI
Process Modelling and Formulation for the Development of an Intelligent Set-up Planning System
Soh-Khim Ong,Andrew Y. C. Nee +1 more
TL;DR: In this article, a set-up planning system for machining is presented, in which the acquired knowledge is modelled using production rules and fuzzy sets, and coupled with a fuzzy-set-based formulation of the problem-solving procedures of these experts.
Vendor selection by application of revised weighting method and fuzzy multicriteria linear programming
Zoran Babić,Tunjo Perić +1 more
TL;DR: In this paper, the problem of vendor selection is solved by a model that combines revised weighting method and fuzzy linear programming, and the authors point out the advantages of using the combination of the two methods in comparison to the separate use of one of them only.