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Multi-criteria game model based on the pairwise comparisons of strategies with Z-numbers

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成果类型:
期刊论文
作者:
Peng, Hong-gang;Wang, Xiao-kang*;Wang, Tie-li;Wang, Jian-qiang
通讯作者:
Wang, Xiao-kang
作者机构:
[Wang, Jian-qiang; Wang, Xiao-kang; Peng, Hong-gang] Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
[Wang, Tie-li] Univ South China, Management Sch, Hengyang 421001, Peoples R China.
通讯机构:
[Wang, Xiao-kang] Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China.
语种:
英文
关键词:
Multi-criteria;Game theory;Z-numbers;Outranking relations
期刊:
APPLIED SOFT COMPUTING
ISSN:
1568-4946
年:
2019
卷:
74
页码:
451-465
文献类别:
WOS:Article
所属学科:
WOS学科类别:Computer Science, Artificial Intelligence;Computer Science, Interdisciplinary Applications
入藏号:
基金类别:
National Natural Science Foundation of China [71871228]
机构署名:
本校为第一机构
摘要:
The Z-number is the most general representation of real-life information with reliability, and it also exhibits the highest descriptive power from the perspective of human cognition. This study focuses on the development of a computationally simple and effective Z-number model to address game problems by systematically comparing pairwise strategies derived from different players. The processing of Z-numbers requires computing fuzzy and probabilistic uncertainties; then, the cloud model is suggested to handle bimodal restriction in Z-numbers. In this manner, a novel concept of asymmetric normal Z-value (ANZ) is proposed. Subsequently, the concordance/discordance index and outranking relations of ANZs are suggested based on classic outranking rules. Next, an innovative game model is established by modeling the outranking relations of strategies of different players under multiple criteria. Finally, an illustrative example concerning enterprise market competition is provided to demonstrate the established model. (C) 2018 Elsevier B.V. All rights reserved.
参考文献:
Aboutorab H, 2018, EXPERT SYST APPL, V107, P115, DOI 10.1016/j.eswa.2018.04.015
Aliev RA, 2018, INFORM SCIENCES, V423, P353, DOI 10.1016/j.ins.2017.09.056
Aliev RA, 2016, INT J INF TECH DECIS, V15, P1503, DOI 10.1142/S0219622016500310
Aliev RA, 2016, INFORM SCIENCES, V373, P441, DOI 10.1016/j.ins.2016.08.078
Aliev RA, 2015, INFORM SCIENCES, V290, P134, DOI 10.1016/j.ins.2014.08.024

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