Artificial Neural Networks Systems for Multiple Criteria Decision Making

  • Kalliopi K. Tigka
  • Constantin Zopounidis
Part of the Applied Optimization book series (APOP, volume 19)


During the past few years, important scientific work has been realized concerning the use of Artificial Neural Networks (ANNs) to support decision making. ANNs offer an approach to computing which unlike conventional programming- does not necessitate a complete algorithmic specification. Firstly, this paper presents the general theoretic framework for Multiple Criteria Decision Making (MCDM) and ANNs. Further, the paper describes how ANNs can solve MCDM problems (a) with respect to the restrictions imposed by the formulation of a MCDM problem and (b) by using fuzzy systems, which can deal with uncertain and incomplete information. The decision making process of ANNs systems and the most recent scientific research related to the area is also presented. The paper concludes by pointing to some issues for future research in the field of Multicriteria Decision Making based on ANNs.


Artificial Neural Networks Multiple Criteria Decision Making 


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Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • Kalliopi K. Tigka
    • 1
  • Constantin Zopounidis
    • 2
  1. 1.Department of InformaticsTechnological Educational Institute of ThessalonikiThessalonikiGreece
  2. 2.Dept. of Production Engineering and Management Decision Support Systems Lab.Technical University of CreteChaniaGreece

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