A New Approach for Dealing with Uncertain Degree in Group Judgment Aggregation using Triangular Intuitionistic Fuzzy Numbers
Le Ngoc Son1, Daji Ergu2, Pham Xuan Kien3
1MSc. Le Ngoc Son, School of Management and Economics, University of Electronic Science and Technology of China.
2MSc. Daji Ergu, School of Business Administration, Southwest University for Nationalities, Chengdu, China.
3MSc. Pham Xuan Kien, School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China.
Manuscript received on May 01, 2014. | Revised Manuscript received on May 05, 2014. | Manuscript published on May 05, 2014. | PP: 34-39 | Volume-4 Issue-2, May 2014. | Retrieval Number: B2185054214/2014©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/

Abstract: The goal of this paper is to propose a new approach for aggregating group judgment using the triangular intuitionistic fuzzy number (IFN). The original group decision making (GDM) problems are converted to a triangular intuitionistic fuzzy decision making model by adding one simple conversion step which generates triangular IFNs from the mean and deviation of group judgment values to the process of GDM methods and inherits existing techniques. Using of triangular IFNs to express group judgment aggregation values keeps completely the information after aggregating and reflects evaluation more truthfully. Consequently, the application of the proposed model helps improve the efficiency and accuracy of GDM methods. In addition, an illustrative example is also presented in order to put this process in detail and comparing with conventional methods.
Keywords: Group decision making, triangular intuitionistic fuzzy set, group judgment, group aggregation.