fuzzy multiple attribute decision (81 resultados)

XIII, 373 P. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Series in Advanced Manufacturing. Sprache: Englisch.

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Soft cover. Condición: Good. Softcover in good condition. Grey and black cover with black and white lettering on front and spine. 536 pages. Cover a little dusty and lightly worn at the edges. Binding is square and tight. Pages are clean and unmarked. Diagrams and equations throughout. Overall a nice copy.

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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.

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Condición: New. 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. . . . .

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Condición: New. 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. . . . . Books ship from the US and Ireland.

Paperback. Condición: Brand New. 1st edition. 548 pages. 9.61x6.69x1.26 inches. In Stock.

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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.

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIsekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker's subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers,manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods presents the concepts and details of applications of MADM methods. A range of methods are covered including Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), VIsekriterijumsko KOmpromisno Rangiranje (VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix Traduisant la Realité (ELECTRE), COmplex PRoportional ASsessment (COPRAS), Grey Relational Analysis (GRA), UTility Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon and three novel multiple attribute decision making methods for solving the decision making problems of the manufacturing environment are proposed. The concept of integrated weights is introduced in the proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach (WEDBA) to consider both the decision maker's subjective preferences as well as the distribution of the attributes data of the decision matrix. These methods, which use fuzzy logic to convert the qualitative attributes into the quantitative attributes, are supported by various real-world application examples. Also, computer codes for AHP, TOPSIS, DEA, PROMETHEE, ELECTRE, COPRAS, and SOIW methods are included. This comprehensive coverage makes Decision Making in Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods a key reference for the designers,manufacturing engineers, practitioners, managers, institutes involved in both design and manufacturing related projects. It is also an ideal study resource for applied research workers, academicians, and students in mechanical and industrial engineering.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent worldwide advances in manufacturing technologies led to a metamorphism in the industry. Fast-changing technologies on the product front have created a need for an equally fast response from manufacturing industries, who select manufacturing strategies, product designs, manufacturing processes, and machinery and equipment. Decision makers have the problem of assessing a range of options and selecting one based on conflicting criteria. This book shows how graph theory and matrix approach, and fuzzy multiple attribute decision making methods can be used in manufacturing. Part I introduces the decision making situations in the manufacturing environment and presents decision making methods; Part II uses case studies to illustrate the applications of these methods in real manufacturing situations. This book will interest designers, manufacturing engineers, practitioners, managers, institutes involved in design and manufacturing related projects, researchers, academics, and graduates in this field.