Township recycling performance assessment based on fuzzy TOPSIS model: An empirical investigation using the artificial intelligence-based VIKOR approach

Wang, Kuo-Yan

doi:10.3233/jifs-189672

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…In this method, linguistic values are adopted rather than crisp values to represent the personal judgements. Further, the fuzzy TOPSIS approach captures the real-life scenario in fuzzy environment (Wang et al, 2021;Venkatesh et al, 2019). In this study, the steps of fuzzy AHP are taken from the previous phase to compute the weights of criteria.…”

Section: Fuzzy Technique For Order Performance By Similarity To Ideal...mentioning

confidence: 99%

Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions

Jha

Sindhwani

Dwivedi

et al. 2021

JABS

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Purpose The purpose of this study is to identify important criteria for sustainable recovery of digital entrepreneurship from distress situation using shared resources. During pandemic disruption, the importance of sharing economy in managing business efficiency is reflected through this research. Design/methodology/approach The present study advances the knowledge on shared resources in business by integrating case study approach with multi criteria decision-making (MCDM) model. A fuzzy analytic hierarchy process approach is adopted to compute criteria weights, and a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) technique is used to rank the sharing economy entrepreneurial ventures during COVID-19 pandemic in the context of emerging economy. Findings The present study identified five most important enablers (technological innovation, technology expertise, convergence of virtual and physical spaces, collaboration rather than competition, and benefits to underserved groups through transparency) for sustainable recovery of sharing economy ventures in emerging economy. For example, the study highlights online tutoring through shared intellect as the most sought after sharing economy venture during pandemic disruption, which fulfills the identified enablers. Practical implications The proposed framework provides an accurate decision support tool to rank the various identified potential enablers of sharing economy during disruptions. Further, the approach is practically relevant to sharing economy entrepreneurs in selecting the best approach to recover sustainability during pandemic. Originality/value The study is unique in addressing the need of sustainability for digital ventures via sharing economy approach in emerging economy (India). To develop a conceptual framework, the present study incorporates a case based approach together with the hybrid MCDM model. Further, the extant literature on disruptions is enhanced by prioritizing the enablers for sharing economy during pandemic.

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Section: Fuzzy Technique For Order Performance By Similarity To Ideal...mentioning

confidence: 99%

Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions

Jha

Sindhwani

Dwivedi

et al. 2021

JABS

View full text Add to dashboard Cite

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Colleges’ performance assessment of university based on grey relational analysis

Liu

2023

IFS

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A new three-dimensional college performance assessment index system is established. The grey relational method is used to evaluate college performance in a university and the CRITIC method of variation coefficient is used to weight the assessment indices. The performance of 15 colleges in NH University are assessed by using the index system and the grey method, and the results can supply some important information for management optimization and resource distribution of NH University. It also shows that the index system and grey assessment model proposed in this paper has good potential to solve the similar problem.

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Multi-attribute decision-making method with triangular fuzzy numbers based on regret theory and the catastrophe progression method

Zhang

Zhou

Pan

et al. 2022

MBE

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<abstract> <p>The purpose of this paper was to develop a novel triangular fuzzy method for multi-attribute decision-making to eliminate the influence of indicator weights on scheme selection and account for the regret psychology of decision-makers. Therefore, considering the consequences of regret aversion and subjective weighting, we propose a multi-attribute decision-making method with triangular fuzzy number based on regret theory and catastrophe progression. First, to eliminate the influence of various dimensions on the decision-making results, the decision matrix is described by a triangular fuzzy number, and the regret value matrix and rejoicing value matrix are independently constructed by applying regret theory. Second, the importance ranking of attributes is improved to eliminate the influence of subjective weighting by employing the maximizing deviation method; and the comprehensive catastrophe progression attribute is calculated to rank the alternatives. Finally, an instance of investment project selection is provided to prove the availability and superiority. In conclusion, the proposed method not only considers decision-makers' bounded rationality for decision-making, but it also expands the application of catastrophe progression methods under the condition of a triangular fuzzy environment.</p> </abstract>

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Township recycling performance assessment based on fuzzy TOPSIS model: An empirical investigation using the artificial intelligence-based VIKOR approach

Cited by 3 publications

References 19 publications

Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions

Sustainable recovery for digital entrepreneurs with shared resources: enablers, challenges and solutions

Colleges’ performance assessment of university based on grey relational analysis

Multi-attribute decision-making method with triangular fuzzy numbers based on regret theory and the catastrophe progression method

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