Solving Fuzzy Linear Programming by Using Revised Tsao’s Method

Ranking fuzzy numbers plays an important role in linguistic decision making and some other fuzzy application systems such as management, operations research and etc. Many methods have been proposed to deal with ranking fuzzy numbers. In 2006, Yong Deng, Zhu Zhenfu and Liu Qi presented a method to rank fuzzy numbers. They employed radius of gyration rank fuzzy numbers; however there were some problems with the ranking method. Recently the revised Tsao method is proposed for ranking fuzzy number which was over-came the short coming of the privous method. On the other hand, usually the fuzzy primal simplex algorithm is designed based on ranking fuzzy numbers. Hence, in this paper, using the revised Tsao method for solving fuzzy linear programming is proposed