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Intelligent Strategies For Meta Multiple Criteria Decision Making (Cód: 6327407)

Hanne,Thomas

SPRINGER VERLAG POD

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Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria.
Over the past twenty years, numerous multiple criterion decision methods have been developed which are able to solve such problems. However, the selection of an appropriate method to solve a particular decision problem is
today's problem for a decision support researcher and decision-maker. Intelligent Strategies for Meta Multiple Criteria Decision-Making deals centrally with the problem of the numerous MCDM
methods that can be applied to a decision problem. The book refers to this as a `meta decision problem', and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select
and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is
accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods. The other strategy is based on solving the meta
decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples
of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and
industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems.

Características

Produto sob encomenda Sim
Marca SPRINGER VERLAG POD
Cód. Barras 9780792372516
Altura 23.40 cm
I.S.B.N. 9780792372516
Profundidade 1.43 cm
Referência 9780792372516
Ano da edição 2000
Idioma Inglês
Número de Páginas 220
Peso 0.45 Kg
Largura 15.60 cm
AutorHanne,Thomas

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