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dc.contributor.authorNureize, Arbaiy
dc.contributor.authorJunzo, Watada, Prof.
dc.date.accessioned2012-07-19T13:20:10Z
dc.date.available2012-07-19T13:20:10Z
dc.date.issued2012-02-27
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20494
dc.descriptionInternational 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.en_US
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)en_US
dc.subjectPossibilistic programmingen_US
dc.subjectNecessity measureen_US
dc.subjectFractile approachen_US
dc.subjectFuzzy linear programmingen_US
dc.titleFractile optimization approach for possibilistic programming problemen_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urlnureize@uthm.edu.myen_US
dc.contributor.urljunzow@osb.att.ne.jpen_US


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