Title : 
Possibilistic programming decision making in modality perspective
         
        
            Author : 
Nureize, Arbaiy ; Watada, Junzo
         
        
            Author_Institution : 
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
         
        
        
        
        
        
            Abstract : 
The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.
         
        
            Keywords : 
decision making; linear programming; possibility theory; fuzzy linear programming model; modality perspective; possibilistic programming decision making; Decision making; Fuzzy sets; Linear programming; Mathematical model; Mathematical programming; Programming; Uncertainty; Possibilistic programming; necessity measure; possibility measure;
         
        
        
        
            Conference_Titel : 
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
         
        
            Conference_Location : 
Singapore
         
        
        
            Print_ISBN : 
978-1-4577-0740-7
         
        
            Electronic_ISBN : 
2157-3611
         
        
        
            DOI : 
10.1109/IEEM.2011.6118009