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.
“Duplicating the problem-solving and information-handling capabilities of the brain is not far off; it would be surprising if it were not accomplished within the next decade.”
—Herbert A. Simon, The Shape of Automation for Men and Management
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References
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).
See Willke, 1991, p. 80, 167ff.
See Lotfi and Teich (1991).
More detailed presentations are, for instance, given by Khoshafian and Abnous (1995) and Mühlhoff (1990).
See Kernighan and Ritchie (1978).
See Ellis and Stroustrup (1991).
See also Khoshafian and Abnous (1995).
See, e.g., Khoshafian and Abnous (1995, p. 19–25, 320–379).
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).
See also Hanne (1997b, p. 337).
See Lipeck (1986/87).
See Hanne (1993).
See Buchanan and Daellenbach (1987).
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© 2001 Springer Science+Business Media New York
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Hanne, T. (2001). Loops — an Object Oriented DSS for Solving Meta Decision Problems. In: Intelligent Strategies for Meta Multiple Criteria Decision Making. International Series in Operations Research & Management Science, vol 33. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1595-1_5
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DOI: https://doi.org/10.1007/978-1-4615-1595-1_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5632-5
Online ISBN: 978-1-4615-1595-1
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