Multi-objective Enterprise Partner Selection Model with Different Relative Superiority Parameters Based on Particle Swarm Optimization.

This paper studies a multi-objective virtual enterprise partner selection model with relative superiority parameter in fuzzy environment. The objective of the model is to maximize customers’ minimum satisfaction index, maximize average customer satisfaction index and minimize project completion cost. The completion time and delivery time are fuzzily processed. By means of relative superiority degree and weighting, the multi-objective model is transformed into a single-objective model and solved by particle swarm optimization (PSO). Finally, a specific example is given to solve the problem. The results of example show that there are different influences on the optimal solution and objective function value as to different relative superiority degrees and different weights.