Title :
A new method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques and evidential reasoning methodology
Author :
Shyi-Ming Chen ; Chu-Han Chiou
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
In this paper, we propose a new multiattribute decision making method based on interval-valued intuitionistic fuzzy sets, particle swarm optimization (PSO) techniques and the evidential reasoning methodology. The proposed methods can overcome the drawbacks of the existing method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets. It provides us with a useful way for multiattribute decision making based on interval-valued intuitionistic fuzzy sets.
Keywords :
decision making; fuzzy set theory; inference mechanisms; particle swarm optimisation; PSO techniques; evidential reasoning methodology; interval-valued intuitionistic fuzzy sets; multiattribute decision making method; particle swarm optimization techniques; Abstracts; Evidential reasoning methodology; Interval-valued intuitionistic fuzzy sets; Multiattribute decision making; Particle swarm optimization;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009149
