Constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model
碩士 === 崑山科技大學 === 資訊管理研究所 === 100 === The failure modes and effects analysis (FMEA) approach is used to solving the reliability and risk assessment problems for identifying potential failure mode of the system. Existing proposals for solving the risk assessment assume that all of the parameters in t...
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ndltd-TW-100KSUT53960052015-10-13T21:27:24Z http://ndltd.ncl.edu.tw/handle/07634122576265573249 Constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model 利用二元模糊語意建構失效模式與效應分析之風險評估方法 Ya-Wen Shiau 蕭雅文 碩士 崑山科技大學 資訊管理研究所 100 The failure modes and effects analysis (FMEA) approach is used to solving the reliability and risk assessment problems for identifying potential failure mode of the system. Existing proposals for solving the risk assessment assume that all of the parameters in the same definition doamin including severity(S), occurrence (O) and detectability (D), consequently it raised the doubtful computational results. Fuzzy sets were introduced to improve this difficulty, the results cannot be guaranteed due to the reason that it may lose of information in the computational process. In this study, the 2-tuple fuzzy linguistic representation model is proposed to determine the assessments of S, O, D and obtain the more reasonable results of risk priority number (RPN) with OWGA (ordered weighted geometric averaging) operator. Delphi method is adopted for aggregating experts’ opinions in the group decision-making process. Finally, an example of cloud computing service is demonstrated to illustrate the applicability of the proposed approach to risk assessment. 柯文長 2012 學位論文 ; thesis 64 zh-TW |
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碩士 === 崑山科技大學 === 資訊管理研究所 === 100 === The failure modes and effects analysis (FMEA) approach is used to solving the reliability and risk assessment problems for identifying potential failure mode of the system. Existing proposals for solving the risk assessment assume that all of the parameters in the same definition doamin including severity(S), occurrence (O) and detectability (D), consequently it raised the doubtful computational results. Fuzzy sets were introduced to improve this difficulty, the results cannot be guaranteed due to the reason that it may lose of information in the computational process. In this study, the 2-tuple fuzzy linguistic representation model is proposed to determine the assessments of S, O, D and obtain the more reasonable results of risk priority number (RPN) with OWGA (ordered weighted geometric averaging) operator. Delphi method is adopted for aggregating experts’ opinions in the group decision-making process. Finally, an example of cloud computing service is demonstrated to illustrate the applicability of the proposed approach to risk assessment.
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柯文長 |
author_facet |
柯文長 Ya-Wen Shiau 蕭雅文 |
author |
Ya-Wen Shiau 蕭雅文 |
spellingShingle |
Ya-Wen Shiau 蕭雅文 Constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model |
author_sort |
Ya-Wen Shiau |
title |
Constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model |
title_short |
Constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model |
title_full |
Constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model |
title_fullStr |
Constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model |
title_full_unstemmed |
Constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model |
title_sort |
constructing the risk assessing approach of failure modes and effects analysis method using 2-tuple fuzzy linguistic representation model |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/07634122576265573249 |
work_keys_str_mv |
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1718062239764709376 |