Title of article :
On Solving Possibilistic Multi- Objective De Novo linear Programming
Author/Authors :
Abd El-Wahed Khalifa, Hamiden Department of Operations Research - Cairo University, Giza, Egypt
Abstract :
Multi-objective De Novo linear programming (MODNLP) is
problem for designing optimal system by reshaping the feasible set
(Fiala, 2011). This paper deals with MODNLP having possibilistic
objective functions coefficients. The problem is considered by inserting
possibilistic data in the objective functions coefficients. The
solution of the problem is defined and established under the using
of efficient and necessary condition. Also, the relation between possibilistic
levels corresponding to the solution is constructed. A solution
procedure for solving the problem is proposed. A numerical
example is given for illustration.
Farsi abstract :
فاقد چكيده فارسي
Keywords :
De Novo programming , Multi-objective , Linear programming , Possibilistic variables , δ- possibily efficient solution , Trade-offs
Journal title :
IJO: Iranian Journal of Optimization