The BF-TOPSIS Approach for Solving Non-classical MCDM Problems

Abstract : In this paper we show how the Belief-Function based Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) approach can be used for solving non-classical multi-criteria decision-making (MCDM) problems. We give simple examples to illustrate our presentation.
Type de document :
Communication dans un congrès
Jiřina Vejnarová, Václav Kratochvíl. 4th International Conference, BELIEF 2016, Sep 2016, Prague, Czech Republic. Springer International Publishing, Belief Functions: Theory and Applications, Volume 9861, pp 75-83, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-45559-4_8〉
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https://hal-emse.ccsd.cnrs.fr/emse-01364911
Contributeur : Florent Breuil <>
Soumis le : mardi 13 septembre 2016 - 09:50:34
Dernière modification le : jeudi 28 septembre 2017 - 01:12:01

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Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Yin Hanlin. The BF-TOPSIS Approach for Solving Non-classical MCDM Problems. Jiřina Vejnarová, Václav Kratochvíl. 4th International Conference, BELIEF 2016, Sep 2016, Prague, Czech Republic. Springer International Publishing, Belief Functions: Theory and Applications, Volume 9861, pp 75-83, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-45559-4_8〉. 〈emse-01364911〉

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