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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.

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Journal ArticleDOI

On assessing the H value in fuzzy linear regression

TL;DR: The approach developed and illustrated enables a decision maker's beliefs regarding the shape and range of the possibility distribution of the model to be reflected more systematically, and consequently should yield more reliable and realistic results from fuzzy regression.
Proceedings ArticleDOI

Compatible cluster merging for fuzzy modelling

TL;DR: A compatible cluster merging algorithm is suggested for finding the "optimal" number of rules in a rule base, based on the compatible clusters merging algorithm proposed recently and modified.
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Accurate image retrieval based on compact composite descriptors and relevance feedback information

TL;DR: The proposed descriptors address the tremendously increased need for efficient content-based image retrieval (CBIR) in many application areas such as the Internet, biomedicine, commerce and education.
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Transportation investment project selection with fuzzy multiobjectives

TL;DR: Within the fuzzy numbers of the achieved objective performance, this paper will find out the best crisp performance value by centroid rule, which is used to select transportation investment projects.
Journal ArticleDOI

Qualitative multicriteria methods for fuzzy evaluation problems: An illustration of economic-ecological evaluation

TL;DR: In this paper, the authors present a new discrete multicriteria evaluation model whose impact matrix may include either crisp, stochastic or fuzzy measurements of the performance of an alternative an with respect to a criterion gm. No traditional weighting of criteria is used in this method.