A Fuzzy Multi-Criteria Decision-Making Approach for Power Generation Problem Analysis | Journal of Engineering Sciences

A Fuzzy Multi-Criteria Decision-Making Approach for Power Generation Problem Analysis

Author(s): Emovon I.

Affiliation(s): Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria

*Corresponding Author’s Address: [email protected]

Issue: Volume 7, Issue 2 (2020)

Dates:
Paper received: September 11, 2020
The final version of the paper received: December 9, 2020
Paper accepted online: December 16, 2020

Citation:
Emovon I. (2020). A fuzzy multi-criteria decision-making approach for power generation problem analysis. Journal of Engineering Sciences, Vol. 7(2), pp. E26–E31, doi: 10.21272/jes.2020.7(2).e5

DOI: 10.21272/jes.2020.7(2).e5

Research Area:  MECHANICAL ENGINEERING: Computational Mechanics

Abstract. The abundance of different energy sources such as coal, natural gas, and crude oil are in the Africa region, yet one of the lowest electric energy per capita consumption. Different factors have been attributed to this abysmal energy failure in the literature, leading to her slow economic and industrial advancement. These factors include poor maintenance of power generation infrastructure and lack of policy continuity, among others. The purpose of this article is to prioritize these power generation problems for proper budgetary allocation by managers of electric power. The fuzzy VIKOR technique is presented for the evaluation and ranking of these power generation problems. The analysis showed that poor maintenance is the most critical challenge of bedeviling power generation in Nigeria. The Fuzzy VIKOR produces the same result as the classical VIKOR used previously in resolving the problem. The proposed technique addresses the challenge of uncertainty and subjectivity by applying linguistic variables in the decision-making process, which the classical VIKOR is incapable of handling.

Keywords: fuzzy logic, VIKOR technique, electric power, power generation.

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