Title :
A Novel Algorithm Based on TOPSIS Group Ideal Solution for Adaptively Adjusting the Weights of Experts in Group Decision
Author :
Wang Junying ; Li Dehua ; Pan Ying
Author_Institution :
Inst. for Pattern Recognition & Artificial Intell., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
In this work, a new method to adaptively determine the weights of experts in group decision based on TOPSIS group ideal solution is developed, given the weights of attributes and subjective weights of experts. By adjusting the weights of experts according to the similarity between individual decision and group decision that is based on TOPSIS group ideal solution, the relatively stable weights of experts and group decision result are obtained. The experimental example exhibits the superiority of the presented method by showing fast convergence speed and very reasonable group decision result.
Keywords :
decision making; operations research; TOPSIS group ideal solution; multiple attribute group decision making; weight adjustment; Artificial intelligence; Data mining; Decision making; Educational institutions; Pattern recognition; Principal component analysis; Sorting;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5072654
