Multi-Criterion Team Formation Using Fuzzy Grouping Genetic Algorithm Approach

Abstract

Organizing human resources into effective work teams is very important for the overall performance of the organization, for instance, in research and development projects, teaching institutions, and various other project-centered settings. However, decision makers concerned with team formation are often challenged by the presence of multiple criteria which make the problem more complex than can be anticipated. For example, it may be necessary to maximize the total knowledge of individual staff in a team and, at the same time, to maximize the total knowledge of the team on an individual task. As such, a multi-criterion decision-making approach incorporating global optimization is the most promising option. A multi-criterion fuzzy grouping genetic algorithm is proposed for the team formation problem. Extensive numerical experiments show that the proposed algorithm is computationally efficient and effective.