This paper develops new arithmetic operations between generalized trapezoidal fuzzy numbers. We then applied the proposed extension principle to solve a multi-criteria decision making problem. | Proceedings of 2013 International Conference on Fuzzy Theory and Its Application National Taiwan University of Science and Technology, Taipei, Taiwan, Dec. 6-8, 2013 Improved arithmetic operations on generalized fuzzy numbers Luu Quoc Dat Canh Chi Dung University of Economics and Business, Vietnam National University Hanoi, Vietnam Department of Industrial Management, National Taiwan University of Science and Technology Taipei, Taiwan, ROC Email: luuquocdat_84@; datlq@ University of Economics and Business, Vietnam National University Hanoi, Vietnam Email: canhchidung@; dungcc@ Vincent F. Yu Department of Industrial Management, National Taiwan University of Science and Technology Taipei, Taiwan, ROC e-mail: vincent@ Shuo-Yan Chou Department of Industrial Management, National Taiwan University of Science and Technology Taipei, Taiwan, ROC E-mail: sychou2@ Abstract- Determining the arithmetic operations of fuzzy numbers is a very important issue in fuzzy sets theory, decision process, data analysis, and applications. In 1985, Chen formulated the arithmetic operations between generalized fuzzy numbers by proposing the function principle. Since then, researchers have shown an increased interest in generalized fuzzy numbers. Most of existing studies done using generalized fuzzy numbers were based on Chen’s (1985) arithmetic operations. Despite its merits, there were some shortcomings associated with Chen’s method. In order to overcome the drawbacks of Chen’s method, this paper develops the extension principle to derive arithmetic operations between generalized trapezoidal (triangular) fuzzy numbers. Several examples demonstrating the usage and advantages of the proposed method are presented. It can be concluded that the proposed method can effectively resolve the issues with Chen’s method. Finally, the proposed extension principle is applied to solve a multi-criteria decision making (MCDM) .