A Soft Computing Approach for Ranking Firms based on Experts’ Valuation of Corporate Social Responsibility

Authors

Vicente Liern, Departamento de Matem?ticas para la Econom?a y la Empresa. Universitat de Valéncia, Spain.Follow
Paz Méndez-Rodr?guez, Departamento de Econom?a Cuantitativa, Universidad de Oviedo, Spain.Follow
Blanca Pérez-Gladish, Departamento de Econom?a Cuantitativa, Universidad de Oviedo, Spain.Follow

Author Country (or Countries)

Spain.

Abstract

In this work we focus on the obtaining of an integrative measure of Corporate Social Responsibility which does not require a unique precise definition of this concept. The proposed method will allow the ranking of firms based on this integrative measure which will incorporate all the available information from different sources. Moreover, a Soft Computing method will be applied based on interval-valued fuzzy sets reflecting the uncertain, imprecise and fuzzy nature of social performance criteria. In order to illustrate the proposed method a real case study is presented.

Recommended Citation

Liern, Vicente; Méndez-Rodr?guez, Paz; and Pérez-Gladish, Blanca (2015) "A Soft Computing Approach for Ranking Firms based on Experts’ Valuation of Corporate Social Responsibility," Applied Mathematics & Information Sciences: Vol. 09: Iss. 3, Article 3.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol09/iss3/3