RT Journal Article ID 17ecb5d116664564 A1 Wu, Xiao-Hui A1 Wang, Jian-Qiang T1 CROSS-ENTROPY MEASURES OF MULTIVALUED NEUTROSOPHIC SETS AND ITS APPLICATION IN SELECTING MIDDLE-LEVEL MANAGER JF International Journal for Uncertainty Quantification JO IJUQ YR 2017 FD 2017-03-03 VO 7 IS 2 SP 155 OP 176 K1 multivalued neutrosophic sets K1 cross-entropy K1 middle-level managers' selection K1 neutrosophic set AB Selecting middle-level managers is a key decision-making issue facing human resource professionals. Multivalued neutrosophic sets (MVNSs), a subset of neutrosophic sets (NSs), is a more flexible and effective method for solving practical middle-level manager selection scenarios than fuzzy sets (FSs). In this paper, in order to address middle-level manager selection decision-making issues, cross-entropy of MVNSs is investigated, and several novel cross-entropy measures between two MVNSs are introduced and their related properties are proven. We then propose two approaches based on the developed cross-entropy measures under the multivalued neutrosophic environment, and within these approaches, an optimal model is devised to determine the weight vector of the criteria with completely unknown information. Finally, the proposed methods are applied to the real selection of middle-level managers, and the ranking results are compared with previously proposed methods to show that the proposed methods are practical and effective. PB Begell House LK https://www.dl.begellhouse.com/journals/52034eb04b657aea,49bbe81f06221a11,17ecb5d116664564.html