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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

Fuzzy multiple objective programming and compromise programming with Pareto optimum

TL;DR: The proposed two-phase approach guarantees both nondominated and balanced solutions for solving both the crisp and the fuzzy multiple objective decision making problems.
Journal ArticleDOI

A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control

TL;DR: In this tutorial, the utility of a fuzzy system is demonstrated by providing a broad overview, emphasizing analog mode hardware, along with a discussion of the author's original work.
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Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions

TL;DR: In this paper, an exponential desirability functional form is proposed to simplify the Desirability function assessment process, which does not require any assumptions regarding the form or degree of the estimated response models and is robust to the potential dependences between response variables.
Journal ArticleDOI

A novel Likert scale based on fuzzy sets theory

TL;DR: A novel fuzzy Likert scale developed based on the fuzzy sets theory can capture the lost information and regulate the distorted information arising from the closed-form scaling and the ordinal nature of this measurement method.
Journal ArticleDOI

Extensions of TOPSIS for multi-objective large-scale nonlinear programming problems

TL;DR: This paper reduces a q-dimensional objective space to a two-dimensional space by a first-order compromise procedure using the concept of membership function of fuzzy set theory to represent the satisfaction level for both criteria.