Type 2 fuzzy TOPSIS for agriculture MCDM problems
by Mohamed El Alaoui; Khalid El Yassini; Hussain Ben-azza
International Journal of Sustainable Agricultural Management and Informatics (IJSAMI), Vol. 5, No. 2/3, 2019

Abstract: Multi criteria decision making methods achieve an unprecedented success in various domains. However, they are not infallible. TOPSIS, one of the most used, does not check the decision makers' assessments consistency nor their level of confidence. To take account of the preeminent uncertainty, we propose a TOPSIS-based method with interval type 2 fuzzy numbers. An improved algorithm is presented to take into account both coherence and confidence level. An illustrative example treating an agriculture supply chain demonstrates a better sorting capacity of the proposed methodology. In addition, the suggested aims prevent rank reversal.

Online publication date: Tue, 20-Aug-2019

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