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Open AccessArticle

Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions

1
Department of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah P.O. Box 80204, Saudi Arabia
2
Andalusian Research Institute in Data Science and Computational Intelligence, University of Granada, 18071 Granada, Spain
3
Department of Electrical and Computer Engineering, Faculty of Engineering, King, Abdulaziz University, Jeddah 21589, Saudi Arabia
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(7), 2745; https://doi.org/10.3390/su12072745
Received: 22 February 2020 / Revised: 27 March 2020 / Accepted: 29 March 2020 / Published: 31 March 2020
Energy systems planning commonly involves the study of supply and demand of power, forecasting the trends of parameters established on economics and technical criteria of models. Numerous measures are needed for the fulfillment of energy system assessment and the investment plans. The higher energy prices which call for diversification of energy systems and managing the resolution of conflicts are the results of high energy demand for growing economies. Due to some challenging problems of fossil fuels, energy production and distribution from alternative sources are getting more attention. This study aimed to reveal the most proper energy systems in Saudi Arabia for investment. Hence, integrated fuzzy AHP (Analytic Hierarchy Process), fuzzy VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) and TOPSIS (Technique for Order Preferences by Similarity to Idle Solution) methodologies were employed to determine the most eligible energy systems for investment. Eight alternative energy systems were assessed against nine criteria—power generation capacity, efficiency, storability, safety, air pollution, being depletable, net present value, enhanced local economic development, and government support. Data were collected using the Delphi method, a team of three decision-makers (DMs) was established in a heterogeneous manner with the addition of nine domain experts to carry out the analysis. The fuzzy AHP approach was used for clarifying the weight of criteria and fuzzy VIKOR and TOPSIS were utilized for ordering the alternative energy systems according to their investment priority. On the other hand, sensitivity analysis was carried out to determine the priority of investment for energy systems and comparison of them using the weight of group utility and fuzzy DEA (Data Envelopment Analysis) approaches. The results and findings suggested that solar photovoltaic (PV) is the paramount renewable energy system for investment, according to both fuzzy VIKOR and fuzzy TOPSIS approaches. In this context our findings were compared with other works comprehensively. View Full-Text
Keywords: fuzzy AHP; fuzzy VIKOR & TOPSIS; energy system investment; group decision-making; clean energy; sensitivity analysis fuzzy AHP; fuzzy VIKOR & TOPSIS; energy system investment; group decision-making; clean energy; sensitivity analysis
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MDPI and ACS Style

Taylan, O.; Alamoudi, R.; Kabli, M.; AlJifri, A.; Ramzi, F.; Herrera-Viedma, E. Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions. Sustainability 2020, 12, 2745. https://doi.org/10.3390/su12072745

AMA Style

Taylan O, Alamoudi R, Kabli M, AlJifri A, Ramzi F, Herrera-Viedma E. Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions. Sustainability. 2020; 12(7):2745. https://doi.org/10.3390/su12072745

Chicago/Turabian Style

Taylan, Osman; Alamoudi, Rami; Kabli, Mohammad; AlJifri, Alawi; Ramzi, Fares; Herrera-Viedma, Enrique. 2020. "Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions" Sustainability 12, no. 7: 2745. https://doi.org/10.3390/su12072745

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