Research Article | OPEN ACCESS
Evaluation of Corporate Social Responsibility using Fuzzy Expert System
1Houshang Taghizadeh, 1Gholamreza Soltani Fasghandis and 2Amin Zeinalzadeh
1Department of Management
2Young Researchers Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Research Journal of Applied Sciences, Engineering and Technology 2013 16:3047-3053
Received: January 12, 2013 | Accepted: Mach 02, 2013 | Published: September 10, 2013
Abstract
This study aims to evaluate the score of corporate social responsibility for the part-making companies of East Azerbaijan in Iran. The number of part-making companies is 170 in this province where 50 companies are chosen randomly. For gathering data, a questionnaire with 24 questions is developed based on the viewpoint of Carroll and colleagues and the validity and reliability of this questionnaire is tested and approved. A model is designed for evaluating the score of social responsibility based on fuzzy logic. This model involves five stages. First, a fuzzy system is designed. In the second stage, inputs and output are converted to fuzzy number. Then, inference rules are explained. In the fourth stage, defuzzification is done and the model is tested in the fifth stage. The results indicate that the score of social responsibility is in average level for companies under study.
Keywords:
Corporate social responsibility, fuzzy expert system, fuzzy set theory,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
![](http://www.maxwellsci.com/images/RJASET-maxw.jpg) |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
![Submit Manuscript](../images/sub.jpg) |
Information |
|
|
|
Sales & Services |
|
|
|