TOPSIS Sorting with Optimized Cutoff Values
學年 112
學期 2
出版（發表）日期 2024-06-01
作品名稱 TOPSIS Sorting with Optimized Cutoff Values
作品名稱（其他語言）
著者 Jou, Chi-chang
單位
出版者
著錄名稱、卷期、頁數 International Journal of Information and Management Sciences (IJIMS) 35(2),　p.175-190
摘要 Many real-world decision problems require sorting alternatives into ordered classes, and often they involve multiple measures, making them multi-criteria sorting problems. Previous research on applying TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) to these practical problems has focused on proposing criteria weights and computing relative closeness, obtained by comparing distances of alternatives to the positive and negative ideal solutions. However, the issue of how to determine the cutoff values has not been attacked before. We propose a general approach to determine optimized cutoff values, with objective weights for the TOPSIS sorting process. These cutoff values are obtained by minimizing the sum of deviations for randomly selected representative alternatives of neighboring classes. The procedure is demonstrated using two public datasets. It is then analyzed and compared with previous research and traditional data mining techniques, and the results demonstrate that TOPSIS is an effective tool for ordered sorting.
關鍵字 Multiple criteria decision making;TOPSIS;Ordered sorting;Cutoff value.
語言 en_US
ISSN 1017-1819
期刊性質 國外
收錄於 A&HCI EI Scopus Airiti Library Taiwan
產學合作
通訊作者 Chichang Jou
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/126858 )