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Fuzzy and multi-level decision makin...

Cheng, Chi-Bin.

Fuzzy and multi-level decision makingsoft computing approaches /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy and multi-level decision makingby Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee.
Reminder of title:	soft computing approaches /
Author:	Cheng, Chi-Bin.
other author:	Shih, Hsu-Shih.
Published:	Cham :Springer International Publishing :2019.
Description:	xi, 219 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Soft computing.
Online resource:	https://doi.org/10.1007/978-3-319-92525-7
ISBN:	9783319925257$q(electronic bk.)

Fuzzy and multi-level decision makingsoft computing approaches /
Cheng, Chi-Bin.

Fuzzy and multi-level decision makingsoft computing approaches /[electronic resource] :by Chi-Bin Cheng, Hsu-Shih Shih, E. Stanley Lee. - 2nd ed. - Cham :Springer International Publishing :2019. - xi, 219 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3681434-9922 ;. - Studies in fuzziness and soft computing ;v.273..

Introduction -- Linear Bi-level Programming -- Possibility Theory and Fuzzy Optimization -- Fuzzy Interactive Multi-level Decision Making -- Aggregation of Fuzzy Systems in Multi-level Decisions -- Multi-level Optimization by Fuzzy Dynamic Programming -- Auction Mechanisms for Solving Multi-level Programming -- Neural Networks for Solving Multi-level Programming -- Metaheuristics for Multi-level Optimization.

This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.

ISBN: 9783319925257$q(electronic bk.)

Standard No.: 10.1007/978-3-319-92525-7doiSubjects--Topical Terms:

182083
Soft computing.

LC Class. No.: QA76.9.S63 / C44 2019

Dewey Class. No.: 006.3

Fuzzy and multi-level decision makingsoft computing approaches /
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505 0 $a Introduction -- Linear Bi-level Programming -- Possibility Theory and Fuzzy Optimization -- Fuzzy Interactive Multi-level Decision Making -- Aggregation of Fuzzy Systems in Multi-level Decisions -- Multi-level Optimization by Fuzzy Dynamic Programming -- Auction Mechanisms for Solving Multi-level Programming -- Neural Networks for Solving Multi-level Programming -- Metaheuristics for Multi-level Optimization.
520 $a This book offers a comprehensive overview of cutting-edge approaches for decision-making in hierarchical organizations. It presents soft-computing-based techniques, including fuzzy sets, neural networks, genetic algorithms and particle swarm optimization, and shows how these approaches can be effectively used to deal with problems typical of this kind of organization. After introducing the main classical approaches applied to multiple-level programming, the book describes a set of soft-computing techniques, demonstrating their advantages in providing more efficient solutions to hierarchical decision-making problems compared to the classical methods. Based on the book Fuzzy and Multi-Level Decision Making (Springer, 2001) by Lee E.S and Shih, H., this second edition has been expanded to include the most recent findings and methods and a broader spectrum of soft computing approaches. All the algorithms are presented in detail, together with a wealth of practical examples and solutions to real-world problems, providing students, researchers and professionals with a timely, practice-oriented reference guide to the area of interactive fuzzy decision making, multi-level programming and hierarchical optimization.
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