Platform-Based Corporate Social Responsibility Evaluation with Three-Way Group Decisions Under Q-Rung Orthopair Fuzzy Environment

Decui Liang () and Wen Cao ()
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Decui Liang: University of Electronic Science and Technology of China, School of Management and Economics
Wen Cao: University of Electronic Science and Technology of China, School of Management and Economics

Chapter Chapter 13 in q-Rung Orthopair Fuzzy Sets, 2022, pp 333-355 from Springer

Abstract: Abstract Platform-based enterprises are becoming an engine of new economic development. Although the rapid development of platform-based enterprises brings convenience to society, there exists some social responsibility problems, such as leakage of user privacy and lax supervision. Thus, the evaluation and classification of corporate social responsibility (CSR) for platform-based enterprises are conducive to the supervision of government agencies. In this paper, we propose an evaluation method to help government agencies effectively assess platform-based CSR, which is instrumental in the management of platform-based CSR. In our method, enterprises are evaluated with q-rung orthopair fuzzy sets (q-ROFSs) to reduce the uncertainties in evaluation process. The weights of criteria and experts are all learned from evaluation data. A new aggregation operator is proposed based on the compensative weighted averaging (CWA) operator. Moreover, considering the misclassification risk, we utilize TWDs to make a three classification for enterprises. Finally, we give an example to illustrate the application of our proposed method and validate the results via comparative experiment.

Keywords: Platform-based enterprises; Corporate social responsibility; q-rung orthopair fuzzy sets; Multi-criteria decision-making; Three-way decisions (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-1449-2_13

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DOI: 10.1007/978-981-19-1449-2_13

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