Journal Name:
- European Journal of Mathematical Sciences
Author Name | University of Author |
---|---|
Abstract (2. Language):
In this paper, we have proposed an inverse model for linear fractional programming (LFP)
problems, in which the cost coefficients, technical coefficients and right hand side vector are adjusted
as little as possible so that the given feasible or infeasible solution becomes optimal. In our proposed
method, a nonnegative solution x0 is taken and have adjusted the model parameters as little as possible
(under l1 or l2 measure) by taking following cases (i) adjusting cost coefficients (ii) adjusting
cost, constraint coefficients and right hand side vector (iii) adjusting cost and constraint coefficients
(iv) adjusting cost and right hand side vector. Complementary slackness conditions along with some
standard transformations and MATLAB is used for optimal solution. The method has been illustrated
by a numerical example also.
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FULL TEXT (PDF):
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320-328