Applying Fuzzy AHP to Evaluate and Select Emerging Biometric Technologies_

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題名：	Applying Fuzzy AHP to Evaluate and Select Emerging Biometric Technologies
書刊名：	科技管理學刊
作者：	王仁聖／劉哲宏／徐作聖
作者(外文)：	Wang, Jen-sheng／Liu, Che-hung／Shyu, Joseph Z.
出版日期：	2012
卷期：	17:3
頁次：	頁51-82
主題關鍵詞：	生物辨識技術；科技評選；模糊層級分析法；最佳解模糊化之績效值；Biometrics；Technology assessment；Fuzzy analytic hierarchy process；Best non-fuzzy performance
原始連結：	連回原系統網址
相關次數：	被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0) 排除自我引用:0 共同引用:0 點閱:40

生物辨識科技(Biometric technologies)近幾年在資訊產業被廣泛地推廣來強化安全性與隱私性，並形成一個新興產業。以往生物辨識只有應用在特殊領域，但目前逐漸開始應用在消費型電子產品來解決安全性與隱私性問題，所以本研究根據傳統科技評估準則結合生物辨識科技本身特性，透過模糊層級分析法(fuzzy analytic hierarchy process，FAHP)來評選與建議。另外，本研究利用最佳解模糊化之績效值(non-fuzzy best performance，BNP)來協助達成多目標評準之目的。雖然研究結果首先顯示傳統科技評估準則仍是佔了重要的比重，接著才是生物辨識科技個別的競爭性和生物辨識科技的基本要素，但仍指出研究目標科技的特性需要被特別考慮。結論顯示指紋辨識(fingerprint recognition)、虹膜辨識(iris recognition)和臉部辨識 (face recognition) 在進行生物辨識技術評選時，具有較大的優勢。

以文找文

Biometric technologies have been widely promoted around the world to strengthen the security and privacy in the IT world recently, as well as the facilitation of a new industry. Biometrics have been applied in specific territories for decades, but recently proliferated in customer and resident electronic products to enhance security and privacy issues. This study aims to apply fuzzy analytic hierarchy process (FAHP) to evaluate biometrics through conventional technology assessment considerations combined with viewpoints from the particularity of biometric technologies, and provide selection suggestions for industries. Besides, this paper uses non-fuzzy best performance (BNP) to resolve multi-goal problems for achieving our research purposes. Although the results show that technology assessment is the most important object to select biometric technologies followed by the biometric competence and key elements of biometric, it also indicates that the features of the target technologies should be considered when evaluated. Conclusively, fingerprint recognition, iris recognition, and face recognition would be the more advantageous biometrics in evaluation and selected.

以文找文

期刊論文
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圖書
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