文章基本信息

标题：A novel method to extend SAW for decision-making problems with interval data
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作者：Salehi, A. ; Izadikhah, M.
期刊名称：Decision Science Letters
印刷版ISSN：1929-5804
电子版ISSN：1929-5812
出版年度：2014
卷号：3
期号：2
页码：225-236
语种：English
出版社：Growing Science Publishing Company
摘要：Decision making problem is the process of finding the best option out of all feasible alternatives. There are some methods for solving Multiple Criteria Decision-Making problems and Simple Additive Weighting (SAW) is one of the most popular ones. In this paper, among multi-criteria models in making complex decisions and multiple attribute models for the most preferable choice, SAW technique is extended using interval numbers. For this purpose, we first propose a method for extending Entropy method for dealing with interval data, and then the extended SAW method with interval data is proposed by using the interval weights derived by the proposed interval Entropy method. The extended SAW method is an algorithm to determine the most preferable choice out of all possible choices, when the input data are stated in interval.
关键词：Entropy method;Interval data;Multiple Criteria Decision-Making;SAW method