Read e-book online Multicriteria Decision Aid Classification Methods (Applied PDF

By M. Doumpos C. Zopounidis

ISBN-10: 0306481057

ISBN-13: 9780306481055

ISBN-10: 1402008058

ISBN-13: 9781402008054

The ebook discusses a brand new method of the type challenge following the choice help orientation of multicriteria determination reduction. The publication stories the prevailing examine at the improvement of category tools, investigating the corresponding version improvement tactics, and supplying an intensive research in their functionality either in experimental occasions and real-world difficulties from the sphere of finance. viewers: Researchers and pros operating in administration technological know-how, determination research, operations learn, financial/banking research, economics, facts, laptop technological know-how, in addition to graduate scholars in administration technology and operations study.

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On the other hand, multiobjective mathematical programming is most suitable for continuous problems. As indicated, however, except for the easily identifiable direct contribution (solid lines) of each MCDA stream in addressing specific forms of decision making problems, it is also possible to identify an indirect contribution (dashed lines). In particular, multiattribute utility theory, outranking rela1 Henceforth, all subsequent discussion made in this book adopts the approach presented by Pardalos et al .

1996), Grzymala-Busse and Stefanowski (2001). Generally, the rule induction techniques follow one of the following strategies: 1. Development of a minimal set of rules covering all alternatives of the training sample (information table). 2. Development of an extensive set of rules consisting of all possible decision rules. 3. Development of a set of strong rules, even partly discriminant6, which do not necessarily cover all alternatives of the training sample. The first rule induction approaches developed within the rough set theory assumed that the attributes’ domain was a set of discrete values; otherwise a discretization was required.

An output layer consisting of one or more nodes depending on the form of the desired output of the network. In classification problems, the number of nodes of the output layer is determined depending on the number of groups. For instance, for a two-group classification problem the output layer may include only one node taking two values: 1 for group and 2 for group (these are arbitrary chosen values and any other pair is possible). , 1993). Alternatively, it is also possible to set the number of output nodes equal to the number of groups.

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Multicriteria Decision Aid Classification Methods (Applied Optimization) by M. Doumpos C. Zopounidis

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