Abstract
Personnel selection is a key important role for the human resource department of organization, and hesitant picture fuzzy linguistic sets (HPFLSs) elaborated the advantages of both hesitant linguistic set and picture fuzzy set, which is more flexible and effective to solve the decision-making problems of personnel selection than other extension of fuzzy linguistic sets (FLSs). Cross-entropy, as effective measurement tools, is wildly used under fuzzy multicriteria decision-making (FMCDM) environment; thus, in order to elaborate the advantages of both cross-entropy and HPFLSs under FMCDM environment, the cross-entropy definition of HPFLSs is firstly given in this paper. Meanwhile, several novel cross-entropy measures between two HPFLSs are introduced, and their related properties are proved. Then, an approach based on the weighted cross-entropy measures and TOPSIS under hesitant picture fuzzy linguistic environment is proposed. Finally, the proposed method is applied to the real personnel’s selection, and the ranking results show that the proposed methods are practical and effective.
Highlights
Selecting personnel is the key role faced by the human resource (HR) department in organization, and multicriteria decision-making (MCDM) methods, as one of the effective tools, can be used to solve these problems
Considering the actual personnel selection decision-making problem, different decision maker (DM) could have different attitudes for the evaluation value of criteria or alternative and might pay high attention to the influence of job candidate ranking by the criteria with high or low evaluation value; the criteria weight objectively obtained by criteria evaluation value is more reasonable than subjectively given by experts; an approach to elaborate the advantages of both crossentropy and hesitant picture fuzzy linguistic sets (HPFLSs) is proposed
E main contribution of the paper is defining the cross-entropy of HPFLN and listing its properties needed to be satisfied
Summary
Wu et al [14, 15] proposed two methods for middle-level manager selections with cross-entropy of probability hesitant interval neutrosophic set and multivalued neutrosophic sets These above proposed MCDM approaches for personnel selection can demonstrate the effectiveness under practical environment, these approaches cannot be effectively utilized to solve personnel selection decision-making problems with different attitude information from decisionmakers or experts. For such kind of personnel selection situations, it is required to present new approaches.
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