Titlebook: Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations; Theories and Methodo Yejun Xu Book 2023 The Editor(s) (if applic

MUMP

A Chi-Square Method,In Sect. ., we have described the group decision-making problems with incomplete fuzzy reciprocal preference relations, where the relationship between the elements . and weights .(.?∈?.) should satisfy Eq. (.). In the following, we propose another method called chi-square method.

Intractable

A Least Deviation Method,In this chapter, we propose another method called least deviation method (LDM).

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Weighted Least Square Method,In this chapter, we propose a method called weighted least square method (WLSM) for priority of an incomplete fuzzy reciprocal preference relation (Xu & Da, 2008). It is similar with Gong (2008)’s least square method.

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Priorities from Incomplete Hesitant Fuzzy Reciprocal Preference Relations,In the former chapters, we have introduced several priority methods for incomplete fuzzy reciprocal preference relations. In this chapter, we introduce another preference relation called hesitant fuzzy reciprocal preference relation and present how to derive the priority weights from incomplete hesitant fuzzy reciprocal preference relations.

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食料

Normalizing Rank Aggregation-Based Method,, and it is described in Eq. (.). In this chapter, we further investigate the parameter . and call it normalizing rank aggregation-based method when .?=?./2 or .?=?(.???1)/2. Additionally, we will show that it is more reasonable when .?=?./2 or .?=?(.???1)/2 than .?=?0.5, which is extensively used i

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