文献类型：期刊文献

英文题名：Correlation coefficient of dual hesitant fuzzy sets and its application to multiple attribute decision making

作者：Ye, Jun[1]

机构：[1]Shaoxing Univ, Dept Elect & Informat Engn, Shaoxing 312000, Zhejiang, Peoples R China

年份：2014

卷号：38

期号：2

起止页码：659

外文期刊名：APPLIED MATHEMATICAL MODELLING

收录：SCI-EXPANDED(收录号：WOS:000330487700018)、、EI(收录号：20135117104770)、Scopus(收录号：2-s2.0-84890185863)、WOS

语种：英文

外文关键词：Correlation coefficient; Dual hesitant fuzzy set; Multiple attribute decision making

外文摘要：A dual hesitant fuzzy set (DHFS) consists of two parts, that is, the membership hesitancy function and the nonmembership hesitancy function, supporting a more exemplary and flexible access to assign values for each element in the domain, and can handle two kinds of hesitancy in this situation. It can be considered as a powerful tool to express uncertain information in the process of group decision making. Therefore, we propose a correlation coefficient between DHFSs as a new extension of existing correlation coefficients for hesitant fuzzy sets and intuitionistic fuzzy sets and apply it to multiple attribute decision making under dual hesitant fuzzy environments. Through the weighted correlation coefficient between each alternative and the ideal alternative, the ranking order of all alternatives can be determined and the best alternative can be easily identified as well. Finally, a practical example of investment alternatives is given to demonstrate the practicality and effectiveness of the developed approach. (C) 2013 Elsevier Inc. All rights reserved.