Application of Rough TOPSIS Technique for the Analysis of Engineering System Failure Causes | Journal of Engineering Sciences

Application of Rough TOPSIS Technique for the Analysis of Engineering System Failure Causes

Author(s): Emovon I.*, Nwaoha T. C.

Affilation(s): Federal University of Petroleum Resources, P.M.B. 1221, Effurun, Delta State, Nigeria

*Corresponding Author’s Address: emovon.ikuobase@fupre.edu.ng

Issue: Volume 5; Issue 2 (2018)

Dates:
Paper received: May 28, 2018
The final version of the paper received: June 28, 2018
Paper accepted online: June 30, 2018

Citation:
Emovon I. Application of Rough TOPSIS technique for the analysis of engineering system failure causes / I. Emovon, T. C. Nwaoha // Journal of Engineering Sciences. – Sumy : Sumy State University, 2018. – Volume 5, Issue 2. – P. E1-E6.

DOI: 10.21272/jes.2018.5(2).e1

Research Area: MECHANICAL ENGINEERING: Computational Mechanics

Abstract. The prioritization of the causes of engineering system failure posed to be a challenge. Therefore, there is a need to develop a tool that will be used to identify critical problems of an engineering system to facilitate decision making in allocation of available resources in ensuring optimal system performance. In this paper, a rough technique for order preference by similarity to the ideal solution (Rough-TOPSIS) is proposed, which combines rough set theory and TOPSIS for the prioritization exercise in uncertain engineering environment. The technique is exemplified with a numerical example and advanced using information from experts. From the result of the analysis, factors/causes hampering the optimal performance of the engineering system have been revealed in order of importance. The proposed approach have comparative advantages over other hybrid methods as it can easily be implemented with hand calculation/spreadsheet, without requiring additional tools to evaluate decision criteria weights and aggregate experts opinions.

Keywords: rough set theory, Rough TOPSIS, engineering system, failure causes, decision criteria.

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Scientific journal "The Journal of Engineering Sciences"
ISSN 2312-2498 (Print), ISSN 2414-9381 (Online).

Faculty of Technical Systems and Energy Efficient Technologies
Sumy State University