作者:?hsan Kaya; Cengiz Kahraman 刊名:Information Sciences 上传者:徐斌

【摘要】Several statistical decision making tools and methods are available to organize evidence, evaluate risks, and aid in decision making. Process capability indices are the summary statistics to point out the process performance. In this paper, these indices are analyzed to obtain a new decision making tool. Process accuracy index (C a) measures the degree of process centering and gives alerts when the process mean departures from the target value. It focuses on the location of process mean and the distance between mean and target value. We modify the traditional process accuracy index to obtain a new tool under fuzziness. With the proposed tool, specification limits and process mean can be defined as triangular or trapezoidal fuzzy numbers. The proposed tool is illustrated to solve a supplier selection problem. [All rights reserved Elsevier].

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Information Sciences 180 (2010) 861–872Contents lists available at ScienceDirect Information Sciences journal homepage: www.elsevier .com/locate / insDevelopment of fuzzy process accuracy index for decision making problems _Ihsan Kaya *, Cengiz Kahraman Department of Industrial Engineering, Istanbul Technical University, Management Faculty, 34367 Ma?ka, Istanbul, Turkeya r t i c l e i n f o Article history: Received 2 December 2008 Received in revised form 26 May 2009 Accepted 30 May 2009 Keywords: Decision making Process accuracy index Process capability indices Fuzzy sets0020-0255/$ - see front matter  2009 Elsevier Inc doi:10.1016/j.ins.2009.05.019 * Corresponding author. Tel.: +90 212 293 13 00x E-mail address: kayai@itu.edu.tr (_I. Kaya).a b s t r a c t Several statistical decision making tools and methods are available to organize evidence, evaluate risks, and aid in decision making. Process capability indices are the summary statistics to point out the process performance. In this paper, these indices are analyzed to obtain a new decision making tool. Process accuracy index (Ca) measures the degree of process centering and gives alerts when the process mean departures from the target value. It focuses on the location of process mean and the distance between mean and target value. We modify the traditional process accuracy index to obtain a new tool under fuzziness. With the proposed tool, specification limits and process mean can be defined as triangular or trapezoida

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