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Multiple Objective Decision Making by Hwang (40 results)
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£ 23.83
Convert currency£ 12.94 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: Poor. Volume 164. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:3540091114.
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Multiple Objective Decision Making. - Methods and Applications. A State-of-the-Art Survey. (= Lecture Notes in Economics and Mathematical Systems, Band 164)
Published by Springer Berlin Heidelberg, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
First Edition
£ 20.66
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Add to basket8° , Softcover/Paperback. 1.Auflage,. XII, 351 Seiten Einband etwas berieben, Bibl.Ex., innen guter und sauberer Zustand 9783540091110 Sprache: Englisch Gewicht in Gramm: 588.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Multiple Objective Decision Making Methods and Applications (Paperback)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
Paperback. Condition: new. Paperback. Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one objective or goal in selecting the course of action while satisfying the constraints dictated by environment, processes, and resources. Another characteristic of these problems is that the objectives are apparently non commensurable. Mathematically, these problems can be represented as: (1. 1 ) subject to: gi(~) ~ 0, ,', . . . , ! where ~ is an n dimensional decision variable vector. The problem consists of n decision variables, m constraints and k objectives. Any or all of the functions may be nonlinear. In literature this problem is often referred to as a vector maximum problem (VMP). Traditionally there are two approaches for solving the VMP. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. The problem is given as: Max f. ~) 1 (1. 2) subject to: where at is any acceptable predetermined level for objective t. The other approach is to optimize a super-objective function created by multiplying each 2 objective function with a suitable weight and then by adding them together. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey (Lecture Notes in Economics and Mathematical Systems)
Published by Springer Berlin Heidelberg, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
£ 36.31
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Add to basketCondition: Gut. 372 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Altersfreigabe FSK ab 0 Jahre Sprache: Englisch Gewicht in Gramm: 969 24,4 x 17,0 x 2,1 cm, Taschenbuch.
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Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey (Lecture Notes in Economics and Mathematical Systems)
Published by Springer Berlin Heidelberg, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
£ 36.31
Convert currency£ 20.93 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Gut. 372 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Sprache: Englisch.
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Multiple objective decision making : methods and applications , a state-of-the-art survey.
Published by Berlin, Heidelberg, New York : Springer, 1979
ISBN 10: 0387091114 ISBN 13: 9780387091112
Language: English
£ 36.31
Convert currency£ 20.93 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Gut. 351 Seiten ex Library Book aus einer wissenschaftlichen Bibliothek Sprache: Englisch.
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Multiple Objective Decision Making ? Methods and Applications: A State-of-the-Art Survey (Lecture Notes in Economics and Mathematical Systems, 164)
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£ 50.82
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Condition: New. pp. 372.
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Multiple Objective Decision Making - Methods and Applications
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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£ 70.55
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Add to basketCondition: New. Series: Lecture Notes in Economics and Mathematical Systems. Num Pages: 370 pages, biography. BIC Classification: KCA; KJT. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 19. Weight in Grams: 640. . 1979. Paperback. . . . .
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Multiple Objective Decision Making - Methods and Applications
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
Condition: New. Series: Lecture Notes in Economics and Mathematical Systems. Num Pages: 370 pages, biography. BIC Classification: KCA; KJT. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 19. Weight in Grams: 640. . 1979. Paperback. . . . . Books ship from the US and Ireland.
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£ 67.41
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Add to basketPaperback. Condition: Brand New. 1st edition. 372 pages. 9.61x6.69x0.84 inches. In Stock.
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Multiple Objective Decision Making - Methods and Applications
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Feb 1979, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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£ 48.03
Convert currency£ 52.31 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one objective or goal in selecting the course of action while satisfying the constraints dictated by environment, processes, and resources. Another characteristic of these problems is that the objectives are apparently non commensurable. Mathematically, these problems can be represented as: (1. 1 ) subject to: gi(~) ~ 0, ,', . . . , ! where ~ is an n dimensional decision variable vector. The problem consists of n decision variables, m constraints and k objectives. Any or all of the functions may be nonlinear. In literature this problem is often referred to as a vector maximum problem (VMP). Traditionally there are two approaches for solving the VMP. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. The problem is given as: Max f. ~) 1 (1. 2) subject to: where at is any acceptable predetermined level for objective t. The other approach is to optimize a super-objective function created by multiplying each 2 objective function with a suitable weight and then by adding them together.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch.
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Multiple Objective Decision Making ¿ Methods and Applications : A State-of-the-Art Survey
Published by Springer Berlin Heidelberg, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
£ 48.03
Convert currency£ 55.11 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one objective or goal in selecting the course of action while satisfying the constraints dictated by environment, processes, and resources. Another characteristic of these problems is that the objectives are apparently non commensurable. Mathematically, these problems can be represented as: (1. 1 ) subject to: gi(~) ~ 0, ,', . . . , ! where ~ is an n dimensional decision variable vector. The problem consists of n decision variables, m constraints and k objectives. Any or all of the functions may be nonlinear. In literature this problem is often referred to as a vector maximum problem (VMP). Traditionally there are two approaches for solving the VMP. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. The problem is given as: Max f. ~) 1 (1. 2) subject to: where at is any acceptable predetermined level for objective t. The other approach is to optimize a super-objective function created by multiplying each 2 objective function with a suitable weight and then by adding them together.
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Condition: As New. Unread book in perfect condition.
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Fuzzy Multiple Objective Decision Making: Methods and Applications (Lecture Notes in Economics and Mathematical Systems, 404)
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£ 94.13
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£ 82
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Condition: New. pp. 500.
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£ 112.85
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Add to basketCondition: New. pp. 500 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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£ 119.20
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Multiple Objective Decision Making Methods and Applications (Paperback)
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1979
ISBN 10: 3540091114 ISBN 13: 9783540091110
Language: English
£ 102.76
Convert currency£ 27.55 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one objective or goal in selecting the course of action while satisfying the constraints dictated by environment, processes, and resources. Another characteristic of these problems is that the objectives are apparently non commensurable. Mathematically, these problems can be represented as: (1. 1 ) subject to: gi(~) ~ 0, ,', . . . , ! where ~ is an n dimensional decision variable vector. The problem consists of n decision variables, m constraints and k objectives. Any or all of the functions may be nonlinear. In literature this problem is often referred to as a vector maximum problem (VMP). Traditionally there are two approaches for solving the VMP. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. The problem is given as: Max f. ~) 1 (1. 2) subject to: where at is any acceptable predetermined level for objective t. The other approach is to optimize a super-objective function created by multiplying each 2 objective function with a suitable weight and then by adding them together. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Fuzzy Multiple Objective Decision Making
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1994
ISBN 10: 3540575952 ISBN 13: 9783540575955
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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First Edition
£ 121.95
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Add to basketCondition: New. Methods of crisp, fuzzy and possibilistic multiple objective decision-making are systematically reviewed and classified in this volume. The reader is provided with a survey of existing methods and their application to the analysis of fuzzy programming problems. Series: Lecture Notes in Economics and Mathematical Systems. Num Pages: 496 pages, biography. BIC Classification: KJT; PBWX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 233 x 156 x 28. Weight in Grams: 702. . 1994. 1st ed. 1994. Corr. 2nd printing 1996. Paperback. . . . .
