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**Topic under **Control Mode

**Source:** www.ime.wayne.edu

**File size:** **425.96 KB**

**File type:** **pdf**

**Last download on:**
Tue Apr 10, 2018 07:09:40 AM

__Short Desciption__:

Several suggested the application of fuzzy logic to reliability engineering and risk analysis to deal with subjective judgments and vague information.

__Summary__:

During early stages of product development process, a vast amount of knowledge and information is generated. However, most of it is
subjective (imprecise) in nature and remains unutilized. This paper presents a formal structure for capturing this information and knowledge
and utilizing it in reliability improvement estimation. The information is extracted as improvement indices from various design tools,
experiments, and design review records and treated as fuzzy numbers or linguistic variables. Fuzzy reasoning method is used to combine and
quantify the subjective information to map their impact on product reliability. The crisp output of the fuzzy reasoning process is treated as
new evidence and incorporated into a Bayesian framework to update the reliability estimates. A case example is presented to demonstrate the
proposed approach.

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