Failure mode and effects analysis using hesitant fuzzy sets

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Known and/or potential failures, problems, or errors (i.e., failure modes (FM)) that occur in a system, usually, terminate the ability of that system to perform a required function or to perform within previously specified limits. Such FMs are unavoidable for the majority of the systems and have the potential of affecting customers and consequently endangering the reputation of the entire organization. In this context, Failure Mode and Effects Analysis (FMEA), which consists of the assessment of FMs with respect to their ‘severity (S)’, ‘probability of occurrence (O)’, and ‘likelihood of detection (D)’, serves as an effective tool to consider and address potential threats to the system, and to minimize the associated risks. As these risks are usually multidimensional in nature and there exist inherent uncertainties and subjectivities in the risk assessment process, a FMEA approach based on Hesitant Fuzzy Sets is proposed in this study, and an illustrative example is presented to demonstrate the applicability of the proposed approach.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
EditörlerJie Lu, Ludovic Koehl, Etienne E. Kerre, Luis Martinez, Xianyi Zeng
YayınlayanWorld Scientific Publishing Co. Pte Ltd
Sayfalar1089-1094
Sayfa sayısı6
ISBN (Elektronik)9789813146969
DOI'lar
Yayın durumuYayınlandı - 2016
EtkinlikUncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016 - Roubaix, France
Süre: 24 Ağu 201626 Ağu 2016

Yayın serisi

AdıUncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016

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???event.eventtypes.event.conference???Uncertainty Modelling in Knowledge Engineering and Decision Making - 12th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2016
Ülke/BölgeFrance
ŞehirRoubaix
Periyot24/08/1626/08/16

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© 2016 by World Scientific Publishing Co. Pte. Ltd.

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