详细信息
Managing incomplete preferences and consistency improvement in hesitant fuzzy linguistic preference relations with applications in group decision making ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Managing incomplete preferences and consistency improvement in hesitant fuzzy linguistic preference relations with applications in group decision making
作者:Liu, Hongbin[1];Ma, Yue[2];Jiang, Le[3]
第一作者:刘红彬
通讯作者:Jiang, L[1]
机构:[1]Henan Univ Econ & Law, Sch Math & Informat Sci, Zhengzhou 450046, Henan, Peoples R China;[2]North China Univ Water Resources & Elect Power, Sch Math & Stat, Zhengzhou 450046, Henan, Peoples R China;[3]Zhengzhou Univ Light Ind, Sch Math & Informat Sci, Zhengzhou 450000, Henan, Peoples R China
第一机构:河南财经政法大学数学与信息科学学院
通讯机构:[1]corresponding author), Zhengzhou Univ Light Ind, Sch Math & Informat Sci, Zhengzhou 450000, Henan, Peoples R China.
年份:2019
卷号:51
起止页码:19-29
外文期刊名:INFORMATION FUSION
收录:;EI(收录号:20184606063878);Scopus(收录号:2-s2.0-85056222833);WOS:【SCI-EXPANDED(收录号:WOS:000469155600003)】;
基金:This work is supported by the Key Scientific Research Funds of Henan Provincial Department of Education (16A630038); the National Natural Science Foundation of China (11872175); the Doctoral Research Start-up Funding Project of Zhengzhou University of Light Industry and Henan University of Economics and Law (BSJJ2013053, 800234).
语种:英文
外文关键词:Incomplete hesitant fuzzy linguistic preference relation; Hesitant fuzzy linguistic term set; Worst consistency index; Best consistency index
摘要:Incomplete hesitant fuzzy linguistic preference relations (IHFLPRs) are useful in decision making which combine advantages of hesitant fuzzy linguistic term sets and incomplete fuzzy preference relations. The existing researches on IHFLPRs pay little attention to missing elements, and the consistency improvement processes change original information greatly. Inspired by the worst and the best consistency indexes of hesitant fuzzy linguistic preference relations, this paper constructs several optimization models to calculate the missing elements of IHFLPRs. As a result, a complete hesitant fuzzy linguistic preference relation is obtained. Furthermore, an algorithm is introduced to improve the additive consistency of the hesitant fuzzy linguistic preference relation to an acceptable level. Finally a group decision making model based on IHFLPRs is introduced and an example is presented.
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