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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty: 6 (Theory and Decision Library D:, 6) - Hardcover
Synopsis
Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise data, and in formulating objective functions that reflect the multi-faceted notion of optimal solution according to human experts. In this respect linear programming is a typical example of impressive achievement of Operations Research, that in its detenninistic fonn is not always adapted to real world decision-making : everything must be expressed in tenns of linear constraints ; yet the coefficients that appear in these constraints may not be so well-defined, either because their value depends upon other parameters (not accounted for in the model) or because they cannot be precisely assessed, and only qualitative estimates of these coefficients are available. Similarly the best solution to a linear programming problem may be more a matter of compromise between various criteria rather than just minimizing or maximizing a linear objective function. Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.
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- PublisherSpringer
- Publication date1990
- ISBN 10 0792308875
- ISBN 13 9780792308874
- BindingHardcover
- LanguageEnglish
- Number of pages435
- EditorShi-Yu Huang, Teghem Jaques
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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming Under Uncertainty. Theory and Decision Library. Series D: System Theory, Knowledge Engineering and Problem Solving. Volume 6
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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming Under Uncertainty (Volume 6)
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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty (Theory and Decision Library D:, 6)
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the lik. Seller Inventory # 5966058
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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty (Theory and Decision Library D:, 6)
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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
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Springer Netherlands, Springer Netherlands, 1990
ISBN 10: 0792308875
ISBN 13: 9780792308874
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise data, and in formulating objective functions that reflect the multi-faceted notion of optimal solution according to human experts. In this respect linear programming is a typical example of impressive achievement of Operations Research, that in its detenninistic fonn is not always adapted to real world decision-making : everything must be expressed in tenns of linear constraints ; yet the coefficients that appear in these constraints may not be so well-defined, either because their value depends upon other parameters (not accounted for in the model) or because they cannot be precisely assessed, and only qualitative estimates of these coefficients are available. Similarly the best solution to a linear programming problem may be more a matter of compromise between various criteria rather than just minimizing or maximizing a linear objective function. Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world. Seller Inventory # 9780792308874
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Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty
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Springer Netherlands Okt 1990, 1990
ISBN 10: 0792308875
ISBN 13: 9780792308874
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise data, and in formulating objective functions that reflect the multi-faceted notion of optimal solution according to human experts. In this respect linear programming is a typical example of impressive achievement of Operations Research, that in its detenninistic fonn is not always adapted to real world decision-making : everything must be expressed in tenns of linear constraints ; yet the coefficients that appear in these constraints may not be so well-defined, either because their value depends upon other parameters (not accounted for in the model) or because they cannot be precisely assessed, and only qualitative estimates of these coefficients are available. Similarly the best solution to a linear programming problem may be more a matter of compromise between various criteria rather than just minimizing or maximizing a linear objective function. Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world. 438 pp. Englisch. Seller Inventory # 9780792308874
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