Research in Engineering Design

, Volume 23, Issue 1, pp 53–70 | Cite as

Fuzzy modelling of consensus during design conflict resolution

Original Paper

Abstract

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.

Keywords

Collaborative and distributed design Computer-aided design Conflict resolution Consensus identification Fuzzy modelling 

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Laboratoire Mecatronique3MUniversité de Technologie de Belfort-MontbéliardBelfort CedexFrance
  2. 2.Laboratoire Sciences Cognitives, Linguistique et Intelligence Artificielle (SCOLIA)Université de StrasbourgStrasbourg CedexFrance
  3. 3.Stanford UniversityPalo AltoUSA

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