Assessing the solar PV power project site selection in Pakistan: based on AHP-fuzzy VIKOR approach

Solangi, Yasir Ahmed; Shah, Syed Ahsan Ali; Zameer, Hashim; Ikram, Muhammad; Saraçoğlu, Burak Ömer

doi:10.1007/s11356-019-06172-0

Cited by 165 publications

(82 citation statements)

References 62 publications

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“…Analytic hierarchy process (AHP) is a widely used technique to solve complex and multifaceted decision-making problems [63,64]. However, AHP is criticized in the literature due to its unbalanced judgment-scale, and lack of ability to incorporate vagueness and uncertainty in decision-making The main barriers and sub-barriers to green innovation in SMEs have been determined using the FAHP method, and then these obtained barriers were incorporated to FTOPSIS to overcome the barriers for sustainable implementation of green innovations in SMEs.…”

Section: Fuzzy Analytic Hierarchy Process (Fahp) Methodsmentioning

confidence: 99%

A Fuzzy Multi-Criteria Analysis of Barriers and Policy Strategies for Small and Medium Enterprises to Adopt Green Innovation

Zhang

et al. 2020

Symmetry

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Recently, small and medium enterprises (SMEs) are increasingly focusing on the implementation of green innovation, mainly due to customers’ increasing environmental consciousness. However, SMEs have not yet achieved any significant accomplishment. The lack of success in implementing green practices is due to various barriers. So, it is crucial to analyze and address these barriers prior to introducing green initiatives. This study prioritizes barriers and solutions to adopt green practices in the context of SMEs in Saudi Arabia. The study develops an integrated decision framework based on symmetry principles to identify main-barriers, sub-barriers, and strategies to overcome these barriers. Six main barriers, 24 sub-barriers, and 10 strategic solutions were identified through literature survey. Then, fuzzy analytical hierarchy process (FAHP) was employed to evaluate main-barriers and sub-barriers. Later, fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) methodology was used to rank strategies. Results of FAHP revealed that the political barrier category holds higher importance than other barriers. Results of FTOPSIS showed that the strategic solution ‘developing research practices to carryout green innovation in SMEs’ is more important in addressing green innovation barriers in SMEs.

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Section: Fuzzy Analytic Hierarchy Process (Fahp) Methodsmentioning

confidence: 99%

A Fuzzy Multi-Criteria Analysis of Barriers and Policy Strategies for Small and Medium Enterprises to Adopt Green Innovation

Zhang

et al. 2020

Symmetry

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“…Furthermore, Haider et al [44] analyzed ways to prevent the contamination of limited water in dry and arid places. Additionally, Solangi et al [45] focused on the electricity generation in Pakistan by considering the IT2 fuzzy VIKOR methodology. Furthermore, a decision-making scheme was prepared by Mete et al [46] using the fuzzy VIKOR method for risk factors in the construction process of a natural gas pipeline.…”

Section: Literature Review On Methodologymentioning

confidence: 99%

Multi-Faceted Analysis of Systematic Risk-Based Wind Energy Investment Decisions in E7 Economies Using Modified Hybrid Modeling with IT2 Fuzzy Sets

Qiu¹,

et al. 2020

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This study aimed to analyze the systematic risks of wind energy investments. Within this framework, E7 countries are included in the scope of the examination. A large literature review was carried out and 12 different systematic risk factors that could exist in wind energy investments were identified. The analysis process of the study consisted of two different stages. First, the specified risk criteria were weighted with the help of the interval type 2 (IT2) fuzzy decision-making trial and evaluation laboratory (DEMATEL) method. Second, E7 countries were ranked according to the risk management effectiveness in wind energy investments. In this process, the IT2 fuzzy Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approach was taken into consideration. The findings show that volatility in exchange rates and interest rates were the most important risks in wind energy investments. In addition, it was determined that China and Indonesia were the most successful countries in managing risks in wind energy investments. In contrast, India, Russia, and Turkey were determined to be the least successful. Additionally, the IT2 fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method was applied as a robustness check of the extended VIKOR method. It was concluded that the ranking results of the IT2 fuzzy TOPSIS method were similar to the results of the IT2 fuzzy VIKOR. It can be understood that the proposed ranking method was consistent with the comparative analysis results. From this point of view, it was observed that countries should take measures regarding their exchange rate and interest rate risks in order to increase the efficiency in wind energy investments. In this context, companies should first ensure that they do not have a foreign exchange short position in their balance sheets by conducting an effective financial analysis. In addition, it is important to use financial derivatives to minimize the exchange rate and interest rate risks. Using these results, it will be possible to manage this risk by taking the reverse position for the existing foreign currency and interest risk. In this way, it will be possible to increase the efficiency of wind energy investments, which will contribute to the social and economic development of each respective country.Energies 2020, 13, 1423 2 of 25 their own energy resources can benefit from these resources [1]. This situation gives these countries a serious cost advantage. On the other hand, countries that do not have sufficient energy resources have to supply the energy they need from outside, which makes these countries dependent on energy. Because of this problem, countries are developing several strategies to produce their own energy [2].Renewable energy sources are an important alternative that allows countries to produce their own energy. The most important feature of these energy alternatives, which come in different forms, such as wind, solar, biomass, geothermal, and hydroelectricity, is that they obtain their resources from natur...

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“…As discussed earlier, the selection of SEZ requires complex and meticulous consideration that should be based on an appropriate scientific decision framework. The numerous studies have utilized MCDA methods for complex decision problems, such as PROSA method [39,40], NEAT-F-PROMETHEE method [41], AHP [42], Fuzzy AHP [43][44][45], and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) [46]. This study provides a comprehensive research framework comprised of AHP and a fuzzy VIKOR decision model as shown in Figure 3.…”

Section: Methodsmentioning

confidence: 99%

Sustainable and Special Economic Zone Selection under Fuzzy Environment: A Case of Pakistan

et al. 2020

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The establishment of Special Economic Zones (SEZs) is a lengthy, expensive, and long-term orientated endeavor. Proper selection of SEZs is indispensable to meet the objectives of export-led growth and value up-gradation. Consideration of sustainability issues in such planning under the Zone 3.0 paradigm is critical to achieve Sustainable Development Goals (SDGs) by 2030. Multiple key factors such as location, linkages, labor force, suitability of industries, incentives and facilitation, and market orientation are important in decision-making process of establishing SEZs. Furthermore, environmental conditions and resource availability need to be considered in the planning and policy making processes to keep symmetry in the natural environment and ecosystem of the areas under consideration for SEZs. The present study uses Multi-Criteria Decision Analysis (MCDA) methods in the perspectives of green industrial zone planning and development in Pakistan under the flagship project of China-Pakistan Economic Corridor (CPEC) of China’s Belt and Road Initiative (BRI). This research uses Delphi method, Analytical Hierarchy Process (AHP), and the Fuzzy Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). The Delphi method has been used to identify the main criteria, sub-criteria, and their weights for 3 SEZs under consideration. The results of AHP analysis unfolded that the majority of the experts believe the location and land aspect is the most pivotal criteria in setting SEZs followed by linkages, subsidies, and facilities criteria. Finally, the results of Fuzzy VIKOR analysis considering environmental sustainability reveals that Faisalabad SEZ is the best suited under given criteria and sub-criteria.

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Assessing the solar PV power project site selection in Pakistan: based on AHP-fuzzy VIKOR approach

Cited by 165 publications

References 62 publications

A Fuzzy Multi-Criteria Analysis of Barriers and Policy Strategies for Small and Medium Enterprises to Adopt Green Innovation

A Fuzzy Multi-Criteria Analysis of Barriers and Policy Strategies for Small and Medium Enterprises to Adopt Green Innovation

Multi-Faceted Analysis of Systematic Risk-Based Wind Energy Investment Decisions in E7 Economies Using Modified Hybrid Modeling with IT2 Fuzzy Sets

Sustainable and Special Economic Zone Selection under Fuzzy Environment: A Case of Pakistan

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