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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) - Softcover
Synopsis
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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- PublisherSpringer
- Publication date1979
- ISBN 10 3540091114
- ISBN 13 9783540091110
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages370
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Multiple Objective Decision Making - Methods and Applications (Lecture Notes in Economics and Mathematical Systems) (Volume 164)
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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)
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ISBN 10: 3540091114
ISBN 13: 9783540091110
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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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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
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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
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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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Multiple Objective Decision Making ¿ Methods and Applications
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ISBN 10: 3540091114
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 372 pp. Englisch. Seller Inventory # 9783540091110
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Multiple Objective Decision Making ¿ Methods and Applications : A State-of-the-Art Survey
Published by
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ISBN 10: 3540091114
ISBN 13: 9783540091110
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Taschenbuch. 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. Seller Inventory # 9783540091110
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Multiple Objective Decision Making - Methods and Applications
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Multiple Objective Decision Making - Methods and Applications
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