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

Abstract

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.

Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model

“…In the first stage, the entropy weight method was employed to identify the objective weights of the financial ratios because it can avoid the subjectivity of weight selection [ 48 , 49 , 50 ]. Moreover, the entropy weight method is able to fully utilize the sample data to obtain the importance weight of the financial ratios [ 37 ].…”

“…Hence, it is important that the fuzzy method is integrated with the entropy–VIKOR model in order to obtain more concrete and realistic results [ 33 ]. The fuzzy VIKOR model has been widely used in the field of development of indices and wells ranking systems [ 34 ], sustainable supplier selection [ 35 ], prioritization of watershed reforestation [ 36 ], energy systems assessment [ 37 ], water consumption pattern [ 38 ], construction project management [ 39 ], residential demand response [ 40 ] and water resource planning [ 41 ].…”

Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model

“…In addition, compared to the methods that require complete consistency, e.g., MACBETH or FUCOM [70], the AHP method is more flexible and allows for an increase or decrease in the tolerance threshold according to the decision makers' preferences [71,72]. Because of the above, AHP is one of the most commonly used MCDM methods, especially for determining the criteria weights, and either alone or in combination with some other methods it has found wide application for solving various problems, such as evaluating energy systems [73], selecting intermodal transport chains [74], locating warehouses for humanitarian logistics [75], ranking of logistics systems scenarios [76], locating dry port terminals [77], locating city logistics terminals [78], etc.…”

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

“…Regarding the integration of MCDM methods, this approach was adopted in 13 studies [131,133,134,138,141,142,[144][145][146][149][150][151][152]. For example, Debbarma et al [131] integrated AHP, PROMETHEE II, and VIKOR to determine the optimal performanceemission trade-off vantage in a hydrogen-biohol dual fuel endeavor.…”