A Dynamic MADM Method for the Selection of a Big Data Service Provider
學年 107
學期 2
出版（發表）日期 2019-03-01
作品名稱 A Dynamic MADM Method for the Selection of a Big Data Service Provider
作品名稱（其他語言）
著者 Liang Yin; Huan-Jyh Shyur
單位
出版者
著錄名稱、卷期、頁數 International Journal of Information and Management Sciences 30(1), p.57-71
摘要 The decision making process for selection of a proper Big Data service platform can be complex and dynamic. The bidding process can occur multiple times, the assessment criteria vary each time and they may conflict with each other. Most existing multiple attribute decision-making (MADM) methods are unable to take into account such dynamic process. This paper presents a new dynamic decision making method for the selection of a big data service provider. The dynamic nature of such process is addressed by means of a feedback mechanism. The final decision is taken at the end of a series of exploratory processes. The ranking algorithm for the proposed method uses prospect theory to reflect the decision maker’s behavior in the face of risk. A case study shows the actual bidding process and proves the proposed method is able to guide and support a decision team to efficiently aggregate their preferences dynamically.
關鍵字 Dynamic decision making;MADM;prospect theory;big data
語言 en_US
ISSN 1017-1819
期刊性質 國內
收錄於 TSSCI EI
產學合作
通訊作者 Huan-Jyh Shyur
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,電子版,紙本
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