The cross-entropy and improved distance measures for complex q-rung orthopair hesitant fuzzy sets and their applications in multi-criteria decision-making

被引:0
作者
Peide Liu
Tahir Mahmood
Zeeshan Ali
机构
[1] Shandong University of Finance and Economics,School of Management Science and Engineering
[2] International Islamic University Islamabad,Department of Mathematics and Statistics
来源
Complex & Intelligent Systems | 2022年 / 8卷
关键词
Complex q-rung orthopair fuzzy sets; Complex q-rung orthopair hesitant fuzzy sets; Improved distance measures; Cross-entropy measures; TOPSIS method;
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中图分类号
学科分类号
摘要
The complex q-rung orthopair fuzzy set (Cq-ROFS) is the extension of complex Pythagorean fuzzy set (CPFS) in which the sum of the q-power of the real part (imaginary part) of the support for and the q-power of the real part (imaginary part) of the support against is limited by one; however, it is difficult to express the hesitant information. In this study, the conception of complex q-rung orthopair hesitant fuzzy set (Cq-ROHFS) by combining the Cq-ROFS and hesitant fuzzy set (HFS) is proposed, and its properties are discussed, obviously, Cq-ROHFS can reflect the uncertainties in structure and in detailed evaluations. Further, some distance measures (DMs) and cross-entropy measures (CEMs) are developed based on complex multiple fuzzy sets. Moreover, these proposed measures are utilized to solve a multi-criteria decision-making problem based on TOPSIS (technique for order preference by similarity to ideal solution) method. Then, the advantages and superiority of the proposed measures are explained by the experimental results and comparisons with some existing methods.
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页码:1167 / 1186
页数:19
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