International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 1295 - 1304

Novel Cross-Entropy Based on Multi-attribute Group Decision-Making with Unknown Experts' Weights Under Interval-Valued Intuitionistic Fuzzy Environment

Authors
Yonghong Li*, ORCID, Yali Cheng, Qiong Mou, Sidong Xian
School of Science/Key Lab of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Nanan, Chongqing 400065, China
*Corresponding author. Email: liyh@cqupt.edu.cn
Corresponding Author
Yonghong Li
Received 16 September 2019, Accepted 7 August 2020, Available Online 29 August 2020.
DOI
10.2991/ijcis.d.200817.001How to use a DOI?
Keywords
Interval-valued intuitionistic fuzzy set; Experts' weights; Cross-entropy; Multi-attribute group decision-making
Abstract

This paper studies the multi-attribute group decision-making problems with unknown experts' weights under interval-valued intuitionistic fuzzy environment. First, in order to provide more flexibilities for decision-makers in actual decision-making problems, a novel cross-entropy measure with parameter of interval-valued intuitionistic fuzzy set (IVIFS) based on J-divergence is proposed. The novel cross-entropy measure can obtain more flexible and practical optimal ranking results by adjusting the parameter. Then, by using the designed cross-entropy measure, two models are established to obtain experts' weights, which consider the influence of experts' experience and professional knowledge on experts' weights. Finally, two examples are provided to illustrate the effectiveness and applicability of optimizing the group decision-making approach.

Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
1295 - 1304
Publication Date
2020/08/29
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200817.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yonghong Li
AU  - Yali Cheng
AU  - Qiong Mou
AU  - Sidong Xian
PY  - 2020
DA  - 2020/08/29
TI  - Novel Cross-Entropy Based on Multi-attribute Group Decision-Making with Unknown Experts' Weights Under Interval-Valued Intuitionistic Fuzzy Environment
JO  - International Journal of Computational Intelligence Systems
SP  - 1295
EP  - 1304
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200817.001
DO  - 10.2991/ijcis.d.200817.001
ID  - Li2020
ER  -