, Volume 23, Issue 1, pp 53-70

Fuzzy modelling of consensus during design conflict resolution

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Consensus can be used for working out an agreement during design conflict resolution. This paper introduces an approach for consensus modelling in collaborative and distributed design. Consensus is represented by a formal model based on the fuzzy set theory. Defining a design cluster as a fuzzy evaluation relationship between a group of functional requirements and a group of conjecture regions allows the concept of consensus as a problem of the overlapping of design clusters of different perspectives to be introduced. To measure consensus, two key concepts are suggested: the intraconsensus design coefficient and the interconsensus design coefficient. Using the concept of consensus and its properties, the actors can more easily move towards consensus improvement or towards ideal consensus. From our observation, the result of interactions during collaborative and distributed design shows that a solution is a set of consensual design clusters. The concept of consensus is used (1) to evaluate design solution, (2) to assist the collaborative designing of a group of conjecture regions according to consensual functional requirements and finally (3) to capitalize on and share the know-how of the different actors.