A Framework for POS Selection: Integrating Entropy Method and Fuzzy AHP for Criteria Weighting Using Z-Number
學年 114
學期 2
出版（發表）日期 2026-05-25
作品名稱 A Framework for POS Selection: Integrating Entropy Method and Fuzzy AHP for Criteria Weighting Using Z-Number
作品名稱（其他語言）
著者 Huan-Jyh Shyur; Han-Wei Hsu
單位
出版者
著錄名稱、卷期、頁數 Mathematics 2026 14(11), p.1831
摘要 This paper proposes a robust multi-criteria decision-making (MCDM) framework for evaluating and selecting Point-of-Sale (POS) systems in the context of Retail 5.0, where decisions involve multiple criteria and inherent uncertainty. The approach integrates entropy-based objective weighting with fuzzy AHP for subjective assessment, while incorporating Z-number theory to explicitly account for decision-makers’ confidence. Unlike conventional methods that assume equal importance between subjective and objective components, the proposed framework introduces a confidence-adjusted integration mechanism, in which Z-numbers are used to dynamically modulate the influence of subjective judgments based on their reliability. This enables a more balanced and context-sensitive weighting process that better reflects both data characteristics and human uncertainty. The contribution of this study is twofold: methodologically, it develops a reliability-driven integration framework that enhances the robustness and credibility of criteria weighting; practically, it demonstrates the applicability of the approach through a real-world POS system selection case. The results confirm that the proposed method provides more stable and informative decision outcomes, highlighting its effectiveness in complex decision-making environments.
關鍵字 point-of-sale; Z number; fuzzy AHP; entropy method
語言 en
ISSN
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者 Huan-Jyh Shyur
審稿制度 是
國別 CHE
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/987654321/129674 )

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