A Fuzzy Logic Model for the Analysis of Social Corporate Responsibility
DOI:
https://doi.org/10.4108/eai.23-7-2021.170556Keywords:
fuzzy logic, fuzzy rules-based system, corporate social responsibilityAbstract
INTRODUCTION: Critical public opinion, based on information that is made available to the public through
different systems, has led companies that operate in the environment to continually improve their social, environmental, and ethical performance.
OBJECTIVES: This paper aims to propose a fuzzy-logic-based model for the analysis of social corporate responsibility in cases of environmental accidents.
METHODS: Our study employs techniques derived from social network analysis. The data was collected from the online database of The New York Times for the timespan from March 24, 1989, to September 1, 2017.
RESULTS: The results show that the proposed model can be replicated, after some adjustments.
CONCLUSION: We conclude that, despite the complexity of an analysis of this kind in which the model is applied considering isolated words in the text and not the semantic aspects, the proposed model based on fuzzy logic is
adequate for the analysis of social corporate responsibility.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 EAI Endorsed Transactions on Scalable Information Systems
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
