文献类型：期刊文献

英文题名：Improving the additive and multiplicative consistency of hesitant fuzzy linguistic preference relations

作者：Liu, Hongbin[1];Jiang, Le[2];Xu, Zeshui[3]

第一作者：刘红彬

通讯作者：Xu, ZS[1]

机构：[1]Henan Univ Econ & Law, Sch Math & Informat Sci, Zhengzhou, Henan, Peoples R China;[2]Zhengzhou Univ Light Ind, Sch Math & Informat Sci, Zhengzhou, Henan, Peoples R China;[3]Sichuan Univ, Business Sch, Chengdu 610064, Sichuan, 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), Sichuan Univ, Business Sch, Chengdu 610064, Sichuan, Peoples R China.

年份：2017

卷号：33

期号：6

起止页码：3677-3693

外文期刊名：JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

收录：;EI(收录号：20182605366900);Scopus(收录号：2-s2.0-85048862519);WOS:【SCI-EXPANDED(收录号:WOS:000416842100044)】；

基金：This work is supported by the National Natural Science Foundation of China [grant numbers 71571123, 61273209]; the Key Scientific Research Funds of Henan Provincial Department of Education [grant numbers 15A630011, 16A630038, 17A120006]; the Doctoral Research Start-up Funding Project of Zhengzhou University of Light Industry and Henan University of Economics and Law [grant numbers BSJJ2013053, 800234]; the Pre-Research Funds on National Key Projects of Henan University of Economics and Law [grant number 852014].

语种：英文

外文关键词：Hesitant fuzzy linguistic preference relations; additive consistency; multiplicative consistency; envelope

摘要：The hesitant fuzzy linguistic preference relations (HFLPRs) facilitate decision makers to express hesitant assessments in fuzzy decision making problems. It is important for the use of consistent HFLPRs since inconsistency leads to unreliable decision making results. This paper aims at proposing the additive and multiplicative consistency improvement processes for HFLPRs such that they reach an acceptable level. Some properties of the additive and multiplicative consistency of HFLPRs are investigated, based on which two algorithms for improving the additive consistency and multiplicative consistency are introduced. Two numerical examples are analyzed by using the algorithms and the comparative analysis between the proposed model and other models is also given. A multi-criteria decision making model based on HFLPRs is proposed, and a practical example on performance evaluation of commercial banks is presented to show the feasibility of the proposed model.