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Selecting on the Preferred Alternatives of MADM with the­smaller­the­better or the­larger­the­better Characteristics using SN Ratios  

이강인 (전주대학교 공학부 산업공학)
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Abstract
The purpose of this paper is to propose an interactive method using the concept of Signal­to­Noise (SN) ratios and cutting ranges for selecting the most preferred alternatives of Multiple­attribute Decision­Making(MADM) with the­smaller­the­better or the­larger­the­better characteristics. In this method the decision makers could make a grouping of attributes by their priorities. This research is based on the assumption of an equality between the attributes of MADM with the characteristics of Taguchi method. As a result, this interactive method could transform the characteristic value of Taguchi method into the size of SN ratios which are relatively easy to understand by decision makers.
Keywords
Taguchi Method; Multiple­Criteria Decision Making(MCDM); Utility/ Value Functions(UVF);
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