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International Journal for Uncertainty Quantification

Impact factor: 1.000

ISSN Print: 2152-5080
ISSN Online: 2152-5099

Open Access

International Journal for Uncertainty Quantification

DOI: 10.1615/Int.J.UncertaintyQuantification.2017019440
Forthcoming Article

Cross-entropy measures of multi-valued neutrosophic sets and its application in selecting middle-level manager

Xiao-hui Wu
Central South University
jian-qiang wang
Central South University


The middle-level manager selection is key important for enterprise, and multi-valued neutrosophic sets (MVNSs),as subset of neutrosophic set(NS), is more flexible and effective solve the practical middle-level manager selection than fuzzy set(FSs). In this paper, the cross-entropy of MVNSsis investigated, firstly, several novel cross-entropy measures between two MVNSs are introduced and their related properties are proved. Then two approaches based on the developed cross-entropy measures under multi-valued neutrosophic environment are proposed, and within these approaches, an optimal model is conducted to determine the weight vector of criteria with completely unknown information. Finally, the proposed methods are applied to the real middle-level managers selection, and the ranking results by the comparison of the previously methods show that the proposed methods are practical and effective.