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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
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Book ChapterDOI
Summary of a Panel Discussion on Representation of Uncertainty and Imprecision in Decision Support Systems
TL;DR: The use of the fuzzy system theory methodology allows the modeller to take advantage of the power and deliberate vagueness of natural language in a consistent, replicable manner.
Proceedings Article
Dynamic, Fuzzy and AHP Procedures in a Multi-Criteria Decision Process: an Application to Ecosystem Management
TL;DR: A hierarchical, discrete, dynamic and multi-criteria decision support model (DSM) is generated and the optimal policy is determined by Bellman’s iteration method for the solution of sequential decision processes.
Journal ArticleDOI
Design and optimisation of a soybean supply chain network under uncertainty
TL;DR: In this article, a mixed-integer linear optimisation formulation for a soybean supply chain network including multiple growers, farm facilities, distributors, and customers is proposed, where the profit is maximised in the objective function.
Book ChapterDOI
Datenanalyse mit Fuzzy Technologie und neuronalen Netzen
Karl Lieven,Richard Weber +1 more
TL;DR: In this article, the authors stellt die Entwicklung der unterschiedlichen Bereiche kurz dar and beschreibt the wichtigsten Methoden and Anwendungen der Datenanalyse.