Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

https://hal-emse.ccsd.cnrs.fr/emse-01364911
Contributor : Florent Breuil Connect in order to contact the contributor
Submitted on : Monday, June 14, 2021 - 4:43:57 PM
Last modification on : Thursday, October 14, 2021 - 9:19:11 AM
Long-term archiving on: : Thursday, September 16, 2021 - 8:23:46 AM

File

Dezert2016.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Jean Dezert, Deqiang Han, Jean-Marc Tacnet, Simon Carladous, Yin Hanlin. The BF-TOPSIS Approach for Solving Non-classical MCDM Problems. 4th International Conference, BELIEF 2016, Sep 2016, Prague, Czech Republic. pp.75-83, ⟨10.1007/978-3-319-45559-4_8⟩. ⟨emse-01364911⟩

Share

Metrics

Record views

675

Files downloads

91