Abstarct- The environmental Performance Evaluation (EPE) of organizations is becoming an independent and powerful management tool. In general, pros agree on the importance of measuring environmental performance related to their man missions and activities. The purpose of this paper is to describe the development of the fuzzy logic approach to decision making and its usefulness for managers by illustrating its application to environmental performance appraisals. The literature is reviewed to provide the framework for the model development in this research. Environmental performance evaluations resprenset a critically important decision that often involves subjective information. There are models and heuristic techniques that focus on the use of different types of information; however, with few exceptions, these models are not robust enough to be applied in a practical, managerially useful manner. Fuzzy logic models provide a reasonable solution to these common decision situations. Fuzzy logic can be a powerful tool for evaluating the environmental performance in comparison with traditional model. In this article a model for evaluating environmental performance was presented. Firstly through library research and inverviews with experts the evaluation criteria are extracted and classified into 6 qualitative factors of evaluation criteria and then a fuzzy inference function will be utilized to rank environmental performances. The flexibility of the model alwos the decision maker to introduce vagueness, uncertainty, and subjectivity in the evaluation system. Concerning tge traditional quantitative methods, this research introduces an alternative method of the environmental performance evaluation system. Of course, further research in this area is needed to develop a method for relating membership values to linguistic variables in environmental performance evaluation, as well as testing the outcome. This paper provides a simple-to-use fuzzy logic model for establishing a more meaningful environmental Performance evaluation system. Keywords- Environmental Performance Evaluation, Fuzzy Logic, Decision Making, Linguistics.