A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making

Moxian Song; Wen Jiang; Chunhe Xie; Deyun Zhou

doi:10.1002/int.21861

A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making

Moxian Song, Wen Jiang, Chunhe Xie, Deyun Zhou

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	631-644
Number of pages	14
Journal	International Journal of Intelligent Systems
Volume	32
Issue number	6
DOIs	https://doi.org/10.1002/int.21861
State	Published - 1 Jun 2017

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10.1002/int.21861

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AB - 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.

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A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making

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