Multiple attribute decision making based on interval-valued intuitionistic fuzzy sets, linear programming methodology, and the extended TOPSIS method
學年 106
學期 1
出版（發表）日期 2017-08-01
作品名稱 Multiple attribute decision making based on interval-valued intuitionistic fuzzy sets, linear programming methodology, and the extended TOPSIS method
作品名稱（其他語言）
著者 王正一; Wang, Cheng-yi; 陳錫明; Chen, Shyi-ming
單位
出版者
著錄名稱、卷期、頁數 Information Sciences, vol 397–398, pp. 155-167
摘要 In recent years, some multiple attribute decision making (MADM) methods have been presented based on interval-valued intuitionistic fuzzy sets (IVIFSs). In this paper, we propose a new MADM method based on IVIFSs, the linear programming (LP) methodology, and the extension of the technique for order preference by similarity to ideal solution (TOPSIS) method, where the LP methodology is used to obtain optimal weights of attributes. The proposed method can overcome the drawbacks of the existing methods for MADM in interval-valued intuitionistic fuzzy (IVIF) environments.
關鍵字 Interval-valued intuitionistic fuzzy sets; Linear programming methodology; Multiple attribute decision making; TOPSIS
語言 en
ISSN
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 陳錫明; Chen, Shyi-ming
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111799 )