Abstract
Multi-Criteria Decision Making (MCDM) methods are famous approaches to structure information and decision evaluation in problems with multiple, conflicting goals. This paper proposes a fusion approach for solving the alternative selection problem. It has three advantages described as below: (1) it uses the entropy method and the ME-OWA operator to get the value of the attribute weight; (2) it uses Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to find out the critical alternative; (3) it can deal with the dynamical weighting problem more rationally and flexibly according to the situational parameter from the user’s viewpoint. In experiments and comparisons, a case study of comparing three houses is adopted. Finally, the comparison results show that the proposed method has better performance than other methods.
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Wang, JW., Chang, JW. (2010). A Fusion Approach for Multi-criteria Evaluation. In: Nguyen, N.T., Katarzyniak, R., Chen, SM. (eds) Advances in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12090-9_30
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DOI: https://doi.org/10.1007/978-3-642-12090-9_30
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