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International Journal for Uncertainty Quantification

Published 6 issues per year

ISSN Print: 2152-5080

ISSN Online: 2152-5099

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.9 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0007 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.5 SJR: 0.584 SNIP: 0.676 CiteScore™:: 3 H-Index: 25

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CROSS-ENTROPY MEASURES OF MULTIVALUED NEUTROSOPHIC SETS AND ITS APPLICATION IN SELECTING MIDDLE-LEVEL MANAGER

Volume 7, Issue 2, 2017, pp. 155-176
DOI: 10.1615/Int.J.UncertaintyQuantification.2017019440
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ABSTRACT

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.

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  2. Luo Sui-Zhi, Cheng Peng-Fei, Wang Jian-Qiang, Huang Yuan-Ji, Selecting Project Delivery Systems Based on Simplified Neutrosophic Linguistic Preference Relations, Symmetry, 9, 8, 2017. Crossref

  3. Nie Ru-xin, Wang Jian-qiang, Zhang Hong-yu, Solving Solar-Wind Power Station Location Problem Using an Extended Weighted Aggregated Sum Product Assessment (WASPAS) Technique with Interval Neutrosophic Sets, Symmetry, 9, 7, 2017. Crossref

  4. Peng Juan-Juan, Tian Chao, Multi-Valued Neutrosophic Distance-Based QUALIFLEX Method for Treatment Selection, Information, 9, 12, 2018. Crossref

  5. Peng Xindong, Dai Jingguo, A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017, Artificial Intelligence Review, 53, 1, 2020. Crossref

  6. Zheng Xueming, Xu Shungao, Zhang Ying, Huang Xinxiang, Nucleotide-level Convolutional Neural Networks for Pre-miRNA Classification, Scientific Reports, 9, 1, 2019. Crossref

  7. Wu Xiaohui, Qian Jie, Peng Juanjuan, Xue Changchun, A Multi-Criteria Group Decision-Making Method with Possibility Degree and Power Aggregation Operators of Single Trapezoidal Neutrosophic Numbers, Symmetry, 10, 11, 2018. Crossref

  8. Zheng Xueming, Fu Xingli, Wang Kaicheng, Wang Meng, Deep neural networks for human microRNA precursor detection, BMC Bioinformatics, 21, 1, 2020. Crossref

  9. Zheng Xueming, Chen Long, Li Xiuming, Zhang Ying, Xu Shungao, Huang Xinxiang, Xie Zhi, Prediction of miRNA targets by learning from interaction sequences, PLOS ONE, 15, 5, 2020. Crossref

  10. Ren Jian, Hu Chun-hua, Yu Shao-qian, Cheng Peng-fei, An extended EDAS method under four-branch fuzzy environments and its application in credit evaluation for micro and small entrepreneurs, Soft Computing, 25, 4, 2021. Crossref

  11. Cheng Fengmin, Jin Yanjun, Chien Ching-Wen, Xiong Lei, Chuang Yen-Ching, Chen Chi-Hua, A Hybrid MADM Model for Newly Graduated Nurse’s Competence Evaluation and Improvement, Journal of Healthcare Engineering, 2021, 2021. Crossref

  12. Wu Xiao-Hui, Yang Lin, Qian Jie, Ye Jun, Selecting Personnel with the Weighted Cross-Entropy TOPSIS of Hesitant Picture Fuzzy Linguistic Sets, Journal of Mathematics, 2021, 2021. Crossref

  13. Rezoun Abu Said Md., Rezoun Abu Said Md, Hasan Md. Al Mehedi, Mehedi Hasan Md. Al, Bin Aziz Abu Zahid, Bin Aziz Abu Zahid, Supervised Deep Learning Methods for Human pre-miRNA Identification, 2020 IEEE Region 10 Symposium (TENSYMP), 2020. Crossref

  14. Gao Xiaozhuan, Pan Lipeng, Deng Yong, Cross entropy of mass function and its application in similarity measure, Applied Intelligence, 52, 8, 2022. Crossref

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