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A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making
Author(s) -
Song Moxian,
Jiang Wen,
Xie Chunhe,
Zhou Deyun
Publication year - 2017
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21861
Subject(s) - operator (biology) , interval (graph theory) , aggregate (composite) , fuse (electrical) , interval data , computer science , power (physics) , simple (philosophy) , mathematical optimization , function (biology) , mathematics , data mining , philosophy , materials science , repressor , chemistry , engineering , composite material , biology , biochemistry , epistemology , quantum mechanics , evolutionary biology , transcription factor , physics , combinatorics , electrical engineering , gene , measure (data warehouse)
How to fuse uncertain information in multiple attribute decision making (MADM) efficiently is still an open issue. The power average operation is an effective tool to aggregate interval data. However, existing methods to aggregate interval numbers based on power average operator are relatively complicated. In this paper, a simple and effective support function of interval data is proposed. Then, a novel interval number power average operation operator is presented. Finally, a practical MADM problem is used to show the efficiency of the developed method.