Fuzzy Multiple Attribute Decision Making
Chen, Shu-Jen; Hwang, Ching-Lai
ISBN 10: 3540549986 ISBN 13: 9783540549987
Editorial: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1992
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Descripción:
This monograph is intended for graduate courses in engineering and management science, as well as readers who require an introduction to the theories and methodologies of multiple attribute decision making in a fuzzy environment. Series: Lecture Notes in Economics and Mathematical Systems. Num Pages: 548 pages, 36 black & white tables, biography. BIC Classification: GPQ; PBT; PBWX; PDE; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 244 x 170 x 28. Weight in Grams: 946. . 1992. Softcover reprint of the original 1st ed. 1992. Paperback. . . . . N° de ref. del artículo V9783540549987
Sinopsis:
This monograph is intended for an advanced undergraduate or graduate course as well as for researchers, who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous works: "Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey" (No.164 of the Lecture Notes); "Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey" (No.186 of the Lecture Notes); and "Group Decision Making under Multiple Criteria--Methods and Applications" (No.281 of the Lecture Notes). In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. This study provides readers with a capsule look into the existing methods, their characteristics, and applicability to the analysis of fuzzy MADM problems. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods. We give an overview of the classical MADM in Chapter II. Chapter III presents the basic concepts and mathematical operations of fuzzy set theory with simple numerical examples in a easy-to-read and easy-to-follow manner. Fuzzy MADM methods basically consist of two phases: (1) the aggregation of the performance scores with respect to all the attributes for each alternative, and (2) the rank ordering of the alternatives according to the aggregated scores.
Reseña del editor: This monograph is intended for an advanced undergraduate or graduate course as well as for researchers, who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous works: "Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey" (No.164 of the Lecture Notes); "Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey" (No.186 of the Lecture Notes); and "Group Decision Making under Multiple Criteria--Methods and Applications" (No.281 of the Lecture Notes). In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. This study provides readers with a capsule look into the existing methods, their characteristics, and applicability to the analysis of fuzzy MADM problems. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods. We give an overview of the classical MADM in Chapter II. Chapter III presents the basic concepts and mathematical operations of fuzzy set theory with simple numerical examples in a easy-to-read and easy-to-follow manner. Fuzzy MADM methods basically consist of two phases: (1) the aggregation of the performance scores with respect to all the attributes for each alternative, and (2) the rank ordering of the alternatives according to the aggregated scores.
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Título: Fuzzy Multiple Attribute Decision Making
Editorial: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Año de publicación: 1992
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Fuzzy Multiple Attribute Decision Making (Paperback)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1992
ISBN 10: 3540549986
ISBN 13: 9783540549987
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Paperback. Condición: new. Paperback. This monograph is intended for graduate courses in engineering and management science, as well as readers who want an introduction to the theories and methologies of Multiple Attribute Decision Making (MADM) in a fuzzy environment. Classical MADM introduces a great deal of complexity to the decision analysis. In a fuzzy environment, the decision analysis is extended to consider not only the aggregation of performance scores (which are fuzzy) but also the comparison of fuzzy numbers which cannot be easily compared as in the case of real numbers. Chapter 2 gives an overview of classical MADM. Chapter 3 presents the basic concepts and the mathematical operations of fuzzy set theory with figures and simple numerical examples in an easy-to-read and easy-to-follow manner. Chapter 4 deals with fuzzy ranking methods, which are widely used in many fuzzy applications (especially fuzzy optimization procedure). A systematic classification of nearly two dozen existing ranking methods is presented, and a system for classifying over one dozen fuzzy MADM methods is presented.The concept, algorithm and the characteristics of each method are discussed, and the computational procedure of each method is illustrated by solving a simple numerical example. In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783540549987
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Fuzzy Multiple Attribute Decision Making : Methods and Applications
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Springer Berlin Heidelberg, 1992
ISBN 10: 3540549986
ISBN 13: 9783540549987
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph is intended for an advanced undergraduate or graduate course as well as for researchers, who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous works: 'Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey' (No.164 of the Lecture Notes); 'Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey' (No.186 of the Lecture Notes); and 'Group Decision Making under Multiple Criteria--Methods and Applications' (No.281 of the Lecture Notes). In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. This study provides readers with a capsule look into the existing methods, their characteristics, and applicability to the analysis of fuzzy MADM problems. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods. We give an overview of the classical MADM in Chapter II. Chapter III presents the basic concepts and mathematical operations of fuzzy set theory with simple numerical examples in a easy-to-read and easy-to-follow manner. Fuzzy MADM methods basically consist of two phases: (1) the aggregation of the performance scores with respect to all the attributes for each alternative, and (2) the rank ordering of the alternatives according to the aggregated scores. Nº de ref. del artículo: 9783540549987
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Fuzzy Multiple Attribute Decision Making
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 1992, 1992
ISBN 10: 3540549986
ISBN 13: 9783540549987
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph is intended for an advanced undergraduate or graduate course as well as for researchers, who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous works: 'Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey' (No.164 of the Lecture Notes); 'Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey' (No.186 of the Lecture Notes); and 'Group Decision Making under Multiple Criteria--Methods and Applications' (No.281 of the Lecture Notes). In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. This study provides readers with a capsule look into the existing methods, their characteristics, and applicability to the analysis of fuzzy MADM problems. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods. We give an overview of the classical MADM in Chapter II. Chapter III presents the basic concepts and mathematical operations of fuzzy set theory with simple numerical examples in a easy-to-read and easy-to-follow manner. Fuzzy MADM methods basically consist of two phases: (1) the aggregation of the performance scores with respect to all the attributes for each alternative, and (2) the rank ordering of the alternatives according to the aggregated scores.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 556 pp. Englisch. Nº de ref. del artículo: 9783540549987
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Fuzzy Multiple Attribute Decision Making
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Springer Berlin Heidelberg Jan 1992, 1992
ISBN 10: 3540549986
ISBN 13: 9783540549987
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