A fuzzy‐based analytic approach to collaborative decision making for construction teams

Abstract

Describes a study that exploits the potential of fuzzy systems in construction through the development of a decision support system which is capable of handling fuzziness in the collaborative decision‐making process. The proposed system is intended to provide an objective and rational framework within which collaborative decisions can be made by virtual construction project teams. Given the often linguistic nature of the weightings ascribed by individual disciplines to decision criteria, the proposed system will utilise fuzzy systems theory to rank criteria and recommend an optimal decision alternative. Presents an example to illustrate how the proposed tool works.