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The Approach to Multicriteria Decision Making Based on Pattern Recognition Algorithms

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Trends in Multicriteria Decision Making

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 465))

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Abstract

The paper introduces Multiple Criteria Decision Making Problems with Incomplete Information (MCDMII). Usually such problems arise in Intelligent Decision Support Systems (IDSS) development or other cases of decision making practical realization. In most of cases, any practical problem is multicriteria, because a compromise between estimations by different criteria is necessary for the best solution choice [1]. On the other hand, it is a problem with incomplete information, because, as a rule, an exact setting of all data components in the decision making model is impossible [2].

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Perekhod, A. (1998). The Approach to Multicriteria Decision Making Based on Pattern Recognition Algorithms. In: Stewart, T.J., van den Honert, R.C. (eds) Trends in Multicriteria Decision Making. Lecture Notes in Economics and Mathematical Systems, vol 465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45772-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-45772-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64741-6

  • Online ISBN: 978-3-642-45772-2

  • eBook Packages: Springer Book Archive

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