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. 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) |
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://dspace.unimap.edu.my/123456789/20494 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
132-83326_Fractile Optimization Approach for Possibilistic Programming Problem.pdf | Access is limited to UniMAP community | 215.41 kB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.