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Article Information:
Evaluation of Corporate Social Responsibility using Fuzzy Expert System
Houshang Taghizadeh, Gholamreza Soltani Fasghandis and Amin Zeinalzadeh
Corresponding Author: Houshang Taghizadeh
Submitted: January 12, 2013
Accepted: Mach 02, 2013
Published: September 10, 2013 |
Abstract:
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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.
Key words: Corporate social responsibility, fuzzy expert system, fuzzy set theory, , , ,
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Cite this Reference:
Houshang Taghizadeh, Gholamreza Soltani Fasghandis and Amin Zeinalzadeh, . Evaluation of Corporate Social Responsibility using Fuzzy Expert System. Research Journal of Applied Sciences, Engineering and Technology, (16): 3047-3053.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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