التفاصيل البيبلوغرافية
| العنوان: |
Linguistic q-rung orthopair fuzzy multiple-attribute group decision making based on the grey similarity degree and PROMETHEE II method. |
| المؤلفون: |
Shi, Xuecheng1 (AUTHOR), Lin, Zhichao1,2 (AUTHOR), Zhou, Ligang1,2 (AUTHOR) shuiqiaozlg@126.com, Bao, Hengjia1 (AUTHOR) |
| المصدر: |
Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 5, p6607-6625. 19p. |
| مصطلحات موضوعية: |
*GROUP decision making, FUZZY sets, FUZZY numbers |
| مستخلص: |
Linguistic q-rung orthopair fuzzy numbers (Lq-ROFNs) are an effective tool for representing fuzzy linguistic information, and they can obtain a wider expression scope than linguistic intuitionistic fuzzy numbers and linguistic Pythagorean fuzzy numbers by increasing the value of parameter q. In this paper, we propose a new similarity measure called the grey similarity degree between any two Lq-ROFNs based on the concept of the grey correlation degree. Considering the significance of determining unknown weights, we also propose a grey correlation method to determine each expert's weight under different alternatives and attributes, and we construct an optimization model to determine incompletely known attribute weights. Furthermore, an approach to linguistic q-rung orthopair fuzzy multiple-attribute group decision making is proposed that combines the grey similarity degree with the PROMETHEE II method. Finally, a numerical example is given to illustrate the effectiveness of the proposed method, and a sensitivity analysis and comparison analysis are also performed. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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