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Loops — an Object Oriented DSS for Solving Meta Decision Problems

  • Thomas Hanne
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 33)

Abstract

In the following, we will present a novel prototype of DSS framework which especially shall serve an analysis of meta decision problems in MCDM and, for doing so, includes an integration of methods, the capability of an interactive method selection or design, and the support of machine learning. This framework is extended to a multicriteria decision support system (MCDSS) by the implementation of problem classes and classes for MCDM methods, neural networks, neural MCDM networks, and evolutionary algorithms for which then in Chapter 6 some possibilities of application are presented.

Keywords

Evolutionary Algorithm Basic Class Object Orientation MCDM Method MCDM Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    The importance of integration in the area of MCDM has so far only occasionally been pointed out. Steuer and Whisman (1985) discuss integration in connection with interactive methods and present a unified framework (“meta program”) for such methods in which eight well-known interactive methods can, in principle, easily be integrated. A similar approach is presented by Gardiner and Steuer (1994). Implementation-oriented aspects of integration are discussed, among others, by Jarke, Jelassi and Stohr (1984) and Jain and Javalgi (1986).Google Scholar
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    More detailed presentations are, for instance, given by Khoshafian and Abnous (1995) and Mühlhoff (1990).Google Scholar
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    Gabrisch, Grauer and Pollmer (1986) consider an assembler-based utilization of object oriented technologies for a MCDSS. Another description of an object oriented DSS and its application is given by Grauer and Fedra (1987).Google Scholar
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    See Buchanan and Daellenbach (1987).Google Scholar

Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Thomas Hanne

There are no affiliations available

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