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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/20494

Title: Fractile optimization approach for possibilistic programming problem
Authors: Nureize, Arbaiy
Junzo, Watada, Prof.
???metadata.dc.contributor.url???: nureize@uthm.edu.my
junzow@osb.att.ne.jp
Keywords: Possibilistic programming;Necessity measure;Fractile approach;Fuzzy linear programming
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: School of Mechatronic Engineering
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: This paper presents the possibilistic programming decision making using a fractile approach. Some real-world problems are formulated as a necessity measure model to deal with the uncertainties which come from vague aspiration and ambiguous coefficients. Thus, the proposed methodology is important in building the problem model and to find the solution. The treatment of the vagueness and ambiguity is given and the fractile approach is used to solve the fuzzy linear programming. An illustrative example explains the proposed model.
Description: International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
URI: http://hdl.handle.net/123456789/20494
Appears in Collections:Conference Papers

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