Application of Fuzzy AHP Approach for Financial Performance Evaluation of Iranian Petrochemical Sector

Organizational performance evaluation is a very vital and sensitive process in any industry. One of the most crucial aspects of performance assessment is consideration of financial performance evaluation. In this kind of evaluation, we face many criteria and index to performing and also designing a comprehensive and effective model. Thus, this situation can be regarded as a fuzzy multiple criteria decision-making (MCDM) problem, so the fuzziness and uncertainty of subjective perception should be considered. In this paper performance evaluation of seven active companies in the petrochemical industries was evaluated using combined method of fuzzy and analytic hierarchy process. In this paper at the first, Iranian petrochemical industry was studied and then the required framework for a good decision making model was introduced after that financial evaluation criteria and the main financial ratios used in this article was defined the criteria are as follows: current ratio, quick ratio, debt ratio, long term debt, EBIT, total asset, inventory turnover ratio, total asset turnover ratio, fixed asset turnover ratio, receivable accounting turnover ratio, net profit margin, ROI, ROE, asset growth, shareholder's equity growth are among the financial criteria that were used, in the nest stage fuzzy set and fuzzy AHP is described and results of analysis have been presented.