A prospective multi-attribute decision making-based reliability allocation method using fuzzy linguistic approach and minimum effort function

Aniruddha Samanta and Kajla Basu

International Journal of Mathematics in Operational Research, 2020, vol. 17, issue 1, 30-49

Abstract: Reliability allocation has a great importance in the early design stage of a system. The result of this allocation directly affects the product's quality and robustness of the system. There are several reliability allocation techniques to allocate the target reliability. But these methods have several shortcomings. To overcome these shortcomings, a new allocation method considering future limiters depending upon the concept of prospective multi-attribute decision making (PMADM) has been proposed here. Also the fuzzy linguistic term sets, minimal variance OWGA weights and experts degree of orness have been combined to perform a more practical reliability allocation. Ultimately to recognise the nonlinear phenomenon for reliability and the element's potential for improvement, the proposed method takes an initiative to improve the initial target reliability using reliability growth effort function. An example of transceiver system is considered here to illustrate the efficiency and flexibility of the proposed approach to allocate the system reliability.

Keywords: prospective multi-attribute decision making; PMADM; ordered weighted geometric averaging operator; OWGA; reliability allocation; proportionality factor; reliability growth effort function. (search for similar items in EconPapers)
Date: 2020
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