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學年
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114 |
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學期
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2 |
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出版（發表）日期
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2026-05-01 |
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作品名稱
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A Framework for POS Selection: Integrating Entropy Method and Fuzzy AHP for Criteria Weighting Using Z-Number |
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作品名稱（其他語言）
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著者
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Huan-Jyh Shyur, Han-Wei Hsu |
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單位
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出版者
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著錄名稱、卷期、頁數
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Mathematics 2026, 14(11), 1831 |
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摘要
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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. |
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關鍵字
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point-of-sale; Z number; fuzzy AHP; entropy method |
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語言
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en |
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ISSN
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期刊性質
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國外 |
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收錄於
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SCI
Scopus
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產學合作
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通訊作者
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Huan-Jyh Shyur |
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審稿制度
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1 |
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國別
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CHE |
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公開徵稿
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出版型式
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,電子版 |