Title : 
Application of Probability Rough Set to Product Model Selection
         
        
            Author : 
Yu, Shouhua ; Lin, Tesheng ; Ou, Jingying
         
        
            Author_Institution : 
Coll. of Inf., South China Agric. Univ., Guangzhou, China
         
        
        
        
        
        
            Abstract : 
Probability rough set is applied to product model selection, risk type decision making problem is converted to probability rough set model for analysis, further, minimum risk decision making rule is found. Take a furniture factory in Foshan City of Guangdong Province as an example, this model is applied to furniture color selection, as provides a scientific decision making method for this factory in furniture color selection.
         
        
            Keywords : 
decision making; furniture industry; probability; product design; product development; risk management; rough set theory; furniture color selection; furniture factory; minimum risk decision making rule; probability rough set; product model selection; Cities and towns; Color; Costs; Data analysis; Decision making; Educational institutions; Information analysis; Marketing and sales; Production facilities; Risk analysis; Probability rough set; Product model selection; Risk type decision making;
         
        
        
        
            Conference_Titel : 
Information Science and Engineering (ISISE), 2009 Second International Symposium on
         
        
            Conference_Location : 
Shanghai
         
        
            Print_ISBN : 
978-1-4244-6325-1
         
        
            Electronic_ISBN : 
978-1-4244-6326-8
         
        
        
            DOI : 
10.1109/ISISE.2009.48