Possibilistic programming decision making in modality perspective

Arbaiy, Nureize and Junzo Watada, Junzo Watada (2011) Possibilistic programming decision making in modality perspective. In: 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 6-9 December 2011, Singapore.

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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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:possibilistic programming; necessity measure; possibility measure
Subjects:H Social Sciences > H Social Sciences (General)
Divisions:Faculty of Computer Science and Information Technology > Department of Software Engineering
ID Code:2970
Deposited By:Normajihan Abd. Rahman
Deposited On:22 Jan 2013 14:00
Last Modified:21 Jan 2015 15:12

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