Strategic renewable energy resources selection for Pakistan: Based on SWOT-Fuzzy AHP approach

Wang, Ying; Xu, Lu; Solangi, Yasir Ahmed

doi:10.1016/j.scs.2019.101861

Cited by 284 publications

(121 citation statements)

References 48 publications

Supporting

Mentioning

115

Contrasting

Unclassified

Order By: Relevance

“…Fuzzy AHP applies for triangular fuzzy numbers (TFNs) to construct a pairwise matrix of decision-makers' preference [41,42]. This study has followed [43] to apply FAHP.…”

Section: Fuzzy Ahp Methodsmentioning

confidence: 99%

Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Sun

2020

Symmetry

View full text Add to dashboard Cite

The recent hype in online purchasing has skyrocketed the importance of the electronic commerce (e-commerce) industry. One of the core segments of this industry is business-to-consumer (B2C) where businesses use their websites to sell products and services directly to consumers. Thus, it must be taken care of that B2C websites are designed in a way which can build a trustworthy and long-term relationship between businesses and consumers. Thus, this study assesses and prioritizes factors for designing a successful B2C e-commerce website. The study employs multi-criteria decision making (MCDM), and to minimize any ambiguity and greyness in the decision-making, it integrates fuzzy and grey respectively with the Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to form FAHP and TOPSIS-Grey. Initially, the study conducts a thorough literature survey to screen important factors reported in past studies. Five main factors and nineteen sub-factors were selected for further prioritization. Later, FAHP prioritized factors based on their importance. Finally, based on the FAHP results, TOPSIS-Grey ranked five alternatives (e-commerce websites). FAHP revealed “service quality” as the most successful website designing factor, while TOPSIS-Grey reported “Website-3” as the most successful website, having incorporated the factors required to design a successful website.

show abstract

“…Fuzzy AHP applies for triangular fuzzy numbers (TFNs) to construct a pairwise matrix of decision-makers' preference [41,42]. This study has followed [43] to apply FAHP.…”

Section: Fuzzy Ahp Methodsmentioning

confidence: 99%

Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Sun

2020

Symmetry

View full text Add to dashboard Cite

show abstract

“…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%

“…Recently, many researchers have used AHP in the decision-making process of renewable energy development in the economies. For example, Solangi et al [43] used fuzzy-AHP in assessing renewable energy strategies in Pakistan. Ahmed et al [75] also used AHP in prioritizing farmers' preferences about crop residue management.…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

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

et al. 2020

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…MCDM techniques are considered to be very crucial in solving any decision-problem [16][17][18]. Several MCDM methods have been employed in previous studies for suppliers' evaluation and ranking based on green innovation practices [19].…”

Section: Related Studies Based On Mcdm Methodologiesmentioning

confidence: 99%

An Integrated Multi-Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability

Zhang

Siyal

et al. 2020

Processes

Self Cite

View full text Add to dashboard Cite

Globally, organizations are under enormous pressure to implement green supply chain processes due to growing environmental concerns. Subsequently, organizations and firms have become more conscious of their suppliers' green innovation ability. However, the selection of the most optimum supplier concerning green innovation ability remains a challenging task that needs to be analyzed. Thus, this study develops an integrated fuzzy and grey-based methodology to analyze and prioritize suppliers for small and medium enterprises (SMEs) in the context of Saudi Arabia. Initially, the study identifies 4 criteria and 20 sub-criteria through extensive literature review with respect to suppliers' green innovation ability. Later, the Fuzzy Analytical Hierarchy Process (AHP) computes weights of criteria and sub-criteria. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)-Grey was employed to rank the suppliers. The process of assigning weights to criteria and sub-criteria involved twelve experts from academics and industry. The results of Fuzzy AHP indicated that the "Green Innovation Initiatives" is the most significant criterion for the supplier selection. The results of TOPSIS-Grey revealed that the "Supplier-3" is the most optimum supplier having the highest potential of adopting green practices among other suppliers. The overall results provide adequate feedback for organizations and firms to maximize their ability to curb environmental impacts from their upstream activities.

show abstract

Strategic renewable energy resources selection for Pakistan: Based on SWOT-Fuzzy AHP approach

Cited by 284 publications

References 48 publications

Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

Assessing Factors for Designing a Successful B2C E-Commerce Website Using Fuzzy AHP and TOPSIS-Grey Methodology

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

An Integrated Multi-Criteria Decision Support Framework for the Selection of Suppliers in Small and Medium Enterprises based on Green Innovation Ability

Contact Info

Product

Resources

About