Novel supplier grading approach based on interval probability hesitant fuzzy linguistic TOPSIS

Abstract

The supplier grading, a typical multi-attribute linguistic group decision-making (MALGDM) problem, is one of the important research topic in the uncertain linguistic environment, especially its aggregation of evaluation information and the establishment of grading approaches. In this paper, first we introduce the generalized interval probability hesitant fuzzy linguistic IOWA weighted average (GVIOWAWA) operator to aggregate the uncertain linguistic information with incomplete reliability. The GVIOWAWA operator can allow decision makers to select the appropriate parameters according to their needs. Then the interval probability hesitant fuzzy linguistic TOPSIS (IPHFL-TOPSIS) based on the interval probability hesitant fuzzy linguistic Euclidean distance is established. The IPHFL-TOPSIS model can effectively and objectively help businesses find the strategic cooperation supplier. Eventually, we give the numerical examples concerning the comprehensive assessment of material supplier and energy supplier to illustrate validity and applicability of the proposed approach and compare the proposed method with different parameters and methods to perform its flexibility.