Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise
Computers and Operations Research
Expert Systems with Applications: An International Journal
An novel approach to supplier selection based on vague sets group decision
Expert Systems with Applications: An International Journal
A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Hi-index | 12.05 |
Partner selection is a major issue in the formation of a virtual enterprise. In practice, in the partner selection process, the information about the candidates and their performances are incomplete and uncertain. Vague sets theory is one of the methods used to deal with uncertain information. In this paper, a new method based on vague sets is proposed to deal with the partner selection problem in the formation of a virtual enterprise while the factors of satisfaction degree, due date, cost and the precedence of tasks are taken into account. On the basis of the agreement index of satisfaction degree, the formulated partner selection problems are interpreted so as to maximize the minimum agreement index. To solve the problem, an improved particle swarm optimization (PSO) algorithm is proposed. Finally, the simulation of a numerical example demonstrates that the method is effective.