DocumentCode
2854747
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
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
709
Lastpage
713
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location
Singapore
ISSN
2157-3611
Print_ISBN
978-1-4577-0740-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2011.6118009
Filename
6118009
Link To Document