Optimality conditions for invex nonsmooth optimization problems with fuzzy objective functions
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Publication:6102829
DOI10.1007/s10700-022-09381-4zbMath1528.90290OpenAlexW4213385679MaRDI QIDQ6102829
Publication date: 23 June 2023
Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10700-022-09381-4
Karush-Kuhn-Tucker optimality conditionsnondominated solutionweighting methodinvex fuzzy functionnonsmooth optimization problem with fuzzy objective function
Optimality conditions and duality in mathematical programming (90C46) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Cites Work
- Unnamed Item
- A class of convex fuzzy mappings
- Convex fuzzy mappings
- On fuzzy convexity and parametric fuzzy optimization
- Invex and generalized convex fuzzy mappings
- Necessary and sufficient conditions for fuzzy optimality problems
- Generalized convexity in fuzzy vector optimization through a linear ordering
- On invex fuzzy mappings and fuzzy variational-like inequalities
- The Karush-Kuhn-Tucker optimality conditions for fuzzy optimization problems
- Preinvex fuzzy mappings
- The Karush-Kuhn-Tucker optimality conditions for multi-objective programming problems with fuzzy-valued objective functions
- Convex fuzzy mapping with differentiability and its application in fuzzy optimization
- The Karush-Kuhn-Tucker optimality conditions for the optimization problem with fuzzy-valued objective function
- Directional derivatives and subdifferential of convex fuzzy mappings and application in convex fuzzy programming
- Explicitly B-preinvex fuzzy mappings
- Nonsmooth invexity
- The optimality conditions for optimization problems with fuzzy-valued objective functions
- Optimization and nonsmooth analysis
- On Fuzzy-Mathematical Programming
- Optimality conditions in nondifferentiable fuzzy optimization
- Generalization of preinvex and B-vex fuzzy mappings.