Finding compromise solutions for fully fuzzy multi-objective linear programming problems by using game theory approach.
Gizem TemelcanHale Gonce KockenInci AlbayrakPublished in: J. Intell. Fuzzy Syst. (2022)
Keyphrases
- game theory
- multiple objectives
- linear programming problems
- multi objective
- game theoretic
- pareto optimal
- evolutionary algorithm
- multi objective optimization
- cooperative
- nash equilibrium
- multi agent systems
- optimization algorithm
- linear programming
- fictitious play
- particle swarm optimization
- optimal solution
- primal dual
- resource allocation
- objective function
- linear program
- statistical physics
- nsga ii
- decision theory
- genetic algorithm
- column generation
- special case
- nash equilibria
- feasible solution
- lower bound
- dynamic programming
- solution concepts
- optimal policy