2011
DOI: 10.1186/1029-242x-2011-75
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Duality in nondifferentiable minimax fractional programming with B-(p, r)- invexity

Abstract: In this article, we are concerned with a nondifferentiable minimax fractional programming problem. We derive the sufficient condition for an optimal solution to the problem and then establish weak, strong, and strict converse duality theorems for the problem and its dual problem under B-(p, r)-invexity assumptions. Examples are given to show that B-(p, r)-invex functions are generalization of (p, r)-invex and convex functions

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Cited by 17 publications
(20 citation statements)
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“…which contradict the efficiency of x o for MOFP (2). On the other hand, there exist x ∈ S with aspiration levels (g i , t i ) such that…”
Section: Theorem 1 Let X O Be a Efficient Solution For Solution For mentioning
confidence: 93%
See 3 more Smart Citations
“…which contradict the efficiency of x o for MOFP (2). On the other hand, there exist x ∈ S with aspiration levels (g i , t i ) such that…”
Section: Theorem 1 Let X O Be a Efficient Solution For Solution For mentioning
confidence: 93%
“…Then, x o is an optimal solution for a weighting problem withλ i ∈ W. So, by Theorem (1), x o is weakly fuzzy efficient for FMOFP(3) and from the theorem (1) also weakly efficient for MOFP (2). Now next various necessary and sufficient conditions are established for optimal solutions under differentiability assumptions.…”
Section: Theorem 4 If X O ∈ S Is a Weakly Efficient Solution Of Mofpmentioning
confidence: 94%
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“…in order to measure the efficiency or productivity of the system. Many economic, non-economic and indirect applications of fractional programming problem have also been given by Dinklebaeh (1967), Jagannathan (1973), Bector (1973), Bector and Chandra (1986), Craven (1998), Mond and Weir (1982), Stancu-Minasian (1997), Schaible and Ibaraki (1983), Ahmad and Sharma (2007), Gulati et al (2007), Kim et al (2006) and Ahmad et al (2011aAhmad et al ( , 2011b.…”
Section: Introductionmentioning
confidence: 97%