The Karush-Kuhn-Tucker (KKT) optimality conditions for fuzzy-valued fractional optimization problems
From MaRDI portal
Publication:2104388
DOI10.1016/j.matcom.2022.10.024OpenAlexW4308739664MaRDI QIDQ2104388
Deepika Agarwal, Pitam Singh, Mohamed Ali El Sayed
Publication date: 7 December 2022
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2022.10.024
Calculus of variations and optimal control; optimization (49-XX) Operations research, mathematical programming (90-XX)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A new method for solving fully fuzzy linear programming problems
- Differentials of fuzzy functions
- A method of solving fully fuzzified linear fractional programming problems
- The optimality conditions for optimization problems with convex constraints and multiple fuzzy-valued objective functions
- Fuzzy programming and linear programming with several objective functions
- Multiobjective fractional programming with generalized convexity
- A new algorithm to solve fully fuzzy linear programming problems using the MOLP problem
- Extended Karush-Kuhn-Tucker condition for constrained interval optimization problems and its application in support vector machines
- The Karush-Kuhn-Tucker optimality conditions for multi-objective programming problems with fuzzy-valued objective functions
- The Karush-Kuhn-Tucker optimality conditions in multiobjective programming problems with interval-valued objective functions
- The Karush--Kuhn--Tucker optimality conditions in an optimization problem with interval-valued objective function
- The Karush-Kuhn-Tucker optimality conditions for the optimization problem with fuzzy-valued objective function
- On interval-valued nonlinear programming problems
- The optimality conditions for optimization problems with fuzzy-valued objective functions
- AN INTERACTIVE FUZZY SATISFICING METHOD FOR MULTIOBJECTIVE LINEAR FRACTIONAL PROGRAMS WITH BLOCK ANGULAR STRUCTURE
- Fractional Programming for Communication Systems—Part I: Power Control and Beamforming
- Fractional Programming for Communication Systems—Part II: Uplink Scheduling via Matching
- Fuzzy sets
- On Some Properties of Programming Problems in Parametric form Pertaining to Fractional Programming
- On Nonlinear Fractional Programming
- Decision-Making in a Fuzzy Environment
This page was built for publication: The Karush-Kuhn-Tucker (KKT) optimality conditions for fuzzy-valued fractional optimization problems
