A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources

Wang, Chia–Nan; Kao, Jui-Chung; Wang, Yen-Hui; Nguyễn, Văn Thành; Nguyen, Viet Tinh; Husain, Syed Tam

doi:10.3390/math9121318

Cited by 37 publications

(15 citation statements)

References 29 publications

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“…The AHP, as well as other tools based on multi-attribute utility functions such as the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the analytic network process (ANP) and the Simple Multi-Attribute Rating Technique (SMART), has been applied in several contexts [9][10][11][12] including the fields of energy renewal [13][14][15], education [9,16,17], urban areas and mobility [18][19][20] and, more recently, health technology assessment [21][22][23][24][25][26][27] and quality improvement in the healthcare sector [11,[28][29][30][31]. From the basic AHP principles, many other hybrid approaches for multicriteria decision making have been developed such as the fuzzy AHP [32][33][34][35], aimed at handling imprecise criteria with the use of fuzzy logic [34,36], the Interval Rough AHP-Multi-Attributive Border Approximation Area Comparison (IR-AHP-MABAC) [37], aimed at treating uncertainties in group multicriteria decision-making problems, and other hybrid approaches combining the AHP with other methodologies such as AHP-fuzzy TOPSIS, fuzzy AHP-PROMETHEE or AHP-Simple Additive Weighting [38][39][40].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

Ponsiglione

Amato

Cozzolino³

et al. 2022

Mathematics

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The quality assessment of training courses is of utmost importance in the medical education field to improve the quality of the training. This work proposes a hybrid multicriteria decision-making approach based on two methodologies, a Likert scale (LS) and the analytic hierarchy process (AHP), for the quality assessment of medical education programs. On one hand, the qualitative LS method was adopted to estimate the degree of consensus on specific topics; on the other hand, the quantitative AHP technique was employed to prioritize parameters involved in complex decision-making problems. The approach was validated in a real scenario for evaluating healthcare training activities carried out at the Centre of Biotechnology of the National Hospital A.O.R.N. “A. Cardarelli” of Naples (Italy). The rational combination of the two methodologies proved to be a promising decision-making tool for decision makers to identify those aspects of a medical education program characterized by a lower user satisfaction degree (revealed by the LS) and a higher priority degree (revealed by the AHP), potentially suggesting strategies to increase the quality of the service provided and to reduce the waste of resources. The results show how this hybrid approach can provide decision makers with helpful information to select the most important characteristics of the delivered education program and to possibly improve the weakest ones, thus enhancing the whole quality of the training courses.

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Section: Introductionmentioning

confidence: 99%

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

Ponsiglione

Amato

Cozzolino³

et al. 2022

Mathematics

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“…This aids in evaluating and selecting the best alternative based on a set of criteria [40]. It is applied in a wide range of areas, including the social sciences [41,42], engineering [43,44], economics [45,46], health care [47,48], and renewable energy [49][50][51]. Tsai et al [52] emphasized the importance of combining MCDM techniques to investigate decision issues, since the outcomes obtained by several MCDM techniques are more trustworthy than those determined by a single MCDM approach.…”

Section: Literature Review On Mcdm Methodsmentioning

confidence: 99%

A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam

et al. 2021

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The unprecedented coronavirus pandemic (COVID-19) is fluctuating worldwide. Since the COVID-19 epidemic has a negative impact on all countries and has become a significant threat, it is necessary to determine the most effective strategy for governments by considering a variety of criteria; however, few studies in the literature can assist governments in this topic. Selective governmental intervention during the COVID-19 outbreak is considered a Multi-Criteria Decision-Making (MCDM) problem under a vague and uncertain environment when governments and medical communities adjust their priorities in response to rising issues and the efficacy of interventions applied in various nations. In this study, a novel hybrid Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (WASPAS-F) model is proposed to help stakeholders such as governors and policymakers to prioritize governmental interventions for dealing with the COVID-19 outbreak. The SF-AHP is implemented to measure the significance of the criteria, while the WASPAS-F approach is deployed to rank intervention alternatives. An empirical case study is conducted in Vietnam. From the SF-AHP findings, the criteria of “effectiveness in preventing the spread of COVID-19”, “ease of implementation”, and “high acceptability to citizens” were recognized as the most important criteria. As for the ranking of strategies, “vaccinations”, “enhanced control of the country’s health resources”, “common health testing”, “formation of an emergency response team”, and “quarantining patients and those suspected of infection” are the top five strategies. Aside from that, the robustness of the approach was tested by performing a comparative analysis. The results illustrate that the applied methods reach the general best strategy rankings. The applied methodology and its analysis will provide insight to authorities for fighting against the severe pandemic in the long run. It may aid in solving many complicated challenges in government strategy selection and assessment. It is also a flexible design model for considering the evaluation criteria. Finally, this research provides valuable guidance for policymakers in other nations.

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“…Other MCDMs, such as weighted sum model (WSM), stepwise weight assessment ratio analysis (SWARA), measuring attractiveness by a categorical based evaluation technique (MACBETH), promethee for sustainability assessment (PROSA), etc., are used to address sustainable energy development challenges. MCDA is widely used in combination with life cycle analysis (LCA) [Wang et al, 2021;Estévez et al, 2021;Hemming et al, 2018]. In order to address the location selection problem, Ozdemir and Sahin (2018) used AHP, which takes into consideration five key criteria: prospective energy output, safety, environmental factors, distance from existing transmission lines, and topographical characteristics.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Hydro Power Projects in India Using Multi Criteria Decision Making Methods

Manoj¹,

Rathnala²,

Sura³

et al. 2022

Ecol. Eng. Environ. Technol.

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In the contemporary period of the green economy, energy planning has grown more complicated due to the inclusion of numerous standards, including technical, social, economic, and environmental. This, in turn, restricts the ability of decision-makers to make the most efficient use of energy resources. In addition, the difficulty of energy planning is exacerbated by topographical restrictions on renewable energy systems, the majority of which are found in nature. Based on factors such as total installed capacity, total reservoir capacity, total surface capacity, the height, length, number of units, and the cost of the dam were used to determine the finest hydro power project in India, according to this study. For performance evaluation, multi criteria decision making (MCDM) techniques like analytic hierarchy process (AHP) and TOPSIS (technique for order reference by similarity to ideal solution) are used in conjunction with VIKOR (vlekriterijumsko kompromisno rangiranje) for performance evaluation. AHP is used to calculate the weights of each criteria. The TOPSIS and VIKOR methods will utilise these weights to choose the optimal option. For the purpose of demonstrating the approaches' applicability, an in-depth case study of various hydropower facilities in India was carried out.

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A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources

Cited by 37 publications

References 29 publications

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies against the COVID-19 Pandemic: A Case Study from Vietnam

Performance Evaluation of Hydro Power Projects in India Using Multi Criteria Decision Making Methods

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