期刊
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
卷 29, 期 6, 页码 1173-1202出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0952813X.2017.1310309
关键词
Multiple-attribute decision-making (MADM); linguistic intuitionistic fuzzy numbers (LIFNs); Maclaurin symmetric mean operator
资金
- National Natural Science Foundation of China [71471172, 71271124]
- Special Funds of Taishan Scholars Project of Shandong Province [ts201511045]
- Shandong Provincial Social Science Planning Project [15BGLJ06, 16CGLJ31, 16CKJJ27]
- Teaching Reform Research Project of Undergraduate Colleges and Universities in Shandong Province [2015Z057]
- Key research and development programme of Shandong Province [2016GNC110016]
Linguistic intuitionistic fuzzy number (LIFN) is a special intuitionistic fuzzy number which can more easily describe the vagueness existing in the real decision-making. Maclaurin symmetric mean (MSM) operator has the characteristic of considering the interrelationships among any number of input parameters. In this paper, we extended the MSM operator to the LIFNs and some extended MSM operators for LIFNs were proposed, some new decision-making methods were developed. Firstly, we introduced the definition, score function, properties and operational rules of the LIFNs. Then, we proposed some linguistic intuitionistic fuzzy MSM operators, such as linguistic intuitionistic fuzzy Maclaurin symmetric mean operator, weighted linguistic intuitionistic fuzzy Maclaurin symmetric mean (WLIFMSM) operator, linguistic intuitionistic fuzzy dual Maclaurin symmetric mean operator, weighted linguistic intuitionistic fuzzy dual Maclaurin symmetric mean (WLIFDMSM) operator. In the meantime, we studied some important properties of these operators, and developed some methods based on WLIFMSM operator and WLIFDMSM operator for multi-attribute decision-making. Finally, we use an example to demonstrate the effectiveness of the proposed methods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据