A Group Decision Making Approach Based on Hesitant Fuzzy Soft Set Theory

Hesitant Fuzzy Soft Combined Compromise Solution Method for IoE Companies’ Evaluation

“…To further state the availability and the outstanding advantages of the presented method, we provide some examples by utilizing some existing hesitant fuzzy soft decision-making approaches (Babitha and John [28], Wang et al [38], Zhou et al [39], Das and Kar [30], Wang et al [31], Beg and Rashid [40], Wu and Zhou [32], Fu and Pi (CIHFSSEWA) [33], Singh and Lalotra [37], Zhang and He [42], Alshehri et al [45], Zhang et al [41], Rezaei and Rezaei [35], Peng and Dai [43], and Peng and Li [34]).…”

“…In order to give a better comparison with some existing approaches [28,[30][31][32][33][34][35][37][38][39][40][41][42][43], we set k ¼ 3; kðtÞ ¼ À logðtÞ in [31], k ¼ 5 in [32], 8l i ¼ 1 in [33], parameter set (A ¼ fe 1 ; e 3 ; e 4 ; e 5 gÞ and a ¼ 0:7) in [42], a ¼ 0:5; k ¼ 0:5 in [43], and b ¼ 0:5; D ¼ 0:02 in [34]. For some multicriteria group decision-making issues, we omit the aggregated process for diverse decision makers and directly enter into the aggregated MCDM issues [37,[39][40][41]. In addition, the weight strategies are determined by their original use pattern (original weight [28, 30-32, 35, 41, 45], objective weight [33], combined weight [34,43], and without weight [38][39][40]42]).…”

“…For some multicriteria group decision-making issues, we omit the aggregated process for diverse decision makers and directly enter into the aggregated MCDM issues [37,[39][40][41]. In addition, the weight strategies are determined by their original use pattern (original weight [28, 30-32, 35, 41, 45], objective weight [33], combined weight [34,43], and without weight [38][39][40]42]).…”

“…However, they have low discrimination, which almost tend to a line that doesn't fluctuate much. In addition, the DVs of entire alternatives of some existing methods [38,39,41] have enormous differentiation. That is to say, they have good discrimination degree, which fit the developed method.…”

“…In other words, it fails to exist a uniform standard for assessing the given alternatives. Hence, Zhou et al [39] and Zhang et al [41] developed a generalized comparison table for obtaining best alternative under hesitant fuzzy soft text, which eliminated the impact of subjective selection in nature. Beg and Rashid [40] presented hesitant fuzzy soft TOPSIS method for the selection of thermal power generation units.…”