수정된 ARAS를 이용한 다기준 의사결정문제 = Application of Multi-Criteria Decision Making Problem Using Revised ARAS

다국어 초록 (Multilingual Abstract)

Although Additive Ratio Assessment(ARAS) is a convenient and practical technique for use in muti-criteria decision making method(MCDM), there has been only research on the benefit and non-beneficial criteria.
This study proposes a target based normalization formular for ARAS. To verify the proposed values, I present the normalization values of the model with nominal-is-best and the Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) with larger-the-better.
I also provide a revised ARAS model that combines the normalized value and reference sequence of Grey Relational Analysis(GRA) and the weight obtained using Analytic Hierarchy Process(AHP).
To compare the results of this study, this paper uses the location selection problem for distribution centers cases presented, and shows Spearman's rank correlation coefficient to identify the rank similarity between the considered methods.

참고문헌 (Reference)

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