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Ingeniería Industrial
versión On-line ISSN 1815-5936
Resumen
ANTELO-GONZALEZ, Yaima Yiri y ALFONSO-ROBAINA, Daniel. Review of corporate social responsibility based on compensatory fuzzy logic model. Ing. Ind. [online]. 2015, vol.36, n.1, pp. 58-69. ISSN 1815-5936.
The research try to analyse the Corporate Social Responsibility (CSR) based on a model of Compensatory Fuzzy Logic (CFL) in companies that apply the Entrepreneurial Improvement (EI). The CFL allows modelling the knowledge of the predicates correlated to the CSR concept by looking for the continuous refinement of the Management System in terms of the supplies detected in the entities studied. An analysis was executed to 55 enterprises, being visible the work in the economical dimension, not behaving match in the social and environmental dimensions. The model based CFL of the CSR allows when it counts on imprecise knowledge to contribute to the decision-making process in terms of integration and the enhancement of the systems; the majority of the enterprises analysed reflect behaviour of Cuban efficient enterprise in a state 3 of the CSR associated to the Innovation.
Palabras clave : Corporate Social Responsibility Management Systems; Business Improvement; Compensatory Fuzzy Logic; modelling; evaluation.