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|Title: ||Fractile optimization approach for possibilistic programming problem|
|Authors: ||Nureize, Arbaiy|
Junzo, Watada, Prof.
|Keywords: ||Possibilistic programming|
Fuzzy linear programming
|Issue Date: ||27-Feb-2012 |
|Publisher: ||Universiti Malaysia Perlis (UniMAP)|
|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.|
|Appears in Collections:||Conference Papers|
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