Title : 
Study on fuzzy multiple-attribute decision making approach base on synthesizing information entropy
         
        
            Author : 
Zhu, Xiao-xia ; Wang, Rui-jiang ; Li, Fa-chao
         
        
            Author_Institution : 
Coll. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
         
        
        
        
        
        
        
            Abstract : 
This paper focuses on fuzzy multiple-attribute decision with weights unknown and fuzzy information. Starting from the structural feature of fuzzy information, we propose the compound quantification description mode based on centralized quantification value, and establish a fuzzy information comparison method based on synthesizing effect. Through real case, all the results indicate that the fuzzy multiple-attribute decision making approach proposed can effectively merge decision preference into decision process and has better operability.
         
        
            Keywords : 
decision making; entropy; fuzzy set theory; operations research; centralized quantification value; compound quantification description mode; fuzzy information comparison method; fuzzy multiple-attribute decision making approach; information entropy synthesis; Conference management; Cybernetics; Decision making; Educational institutions; Fuzzy sets; Information entropy; Machine learning; Quality management; Quantization; Technology management; Composite quantization; Fuzzy number; Multiple-attribute decision making; Synthesizing information entropy;
         
        
        
        
            Conference_Titel : 
Machine Learning and Cybernetics, 2009 International Conference on
         
        
            Conference_Location : 
Baoding
         
        
            Print_ISBN : 
978-1-4244-3702-3
         
        
            Electronic_ISBN : 
978-1-4244-3703-0
         
        
        
            DOI : 
10.1109/ICMLC.2009.5212434