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Fuzzy Sets in Decision Analysis, Operations Research and Statistics pp 391–420Cite as

Reliability

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Part of the book series: The Handbooks of Fuzzy Sets Series ((FSHS,volume 1))

Abstract

The chapter presents applications of the fuzzy set theory to the reliability engineering field. It starts by a historical perspective of reliability engineering and some questions in classical reliability. Then, it reviews the probabilistic method of the system reliability analysis from the fuzzy set theoretical point of view. Next, it makes a survey of the probability approach and the non-probabilistic measure approach. Especially, the non-probabilistic measure approach focuses on the introduction of natural language expressions and experts’ subjectivity to the system reliability analysis.

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Authors
  1. Etienne Kerre
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  2. Takehisa Onisawa
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  3. Bart Cappelle
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  4. Igor Gazdik
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Editor information

Editors and Affiliations

  1. Poznań University of Technology, Poland

    Roman Słowiński

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Kerre, E., Onisawa, T., Cappelle, B., Gazdik, I. (1998). Reliability. In: Słowiński, R. (eds) Fuzzy Sets in Decision Analysis, Operations Research and Statistics. The Handbooks of Fuzzy Sets Series, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5645-9_12

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  • DOI: https://doi.org/10.1007/978-1-4615-5645-9_12

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