Knowledge-intensive collaborative decision support for design processes

The hybrid decision model integrates the compromise decision support problem technique (cDSP) and the fuzzy synthetic decision model (FSD) to quantitatively incorporate qualitative design knowledge and preferences of designers for multiple, conflicting attributes stored in a knowledge repository so that a better understanding of the consequences of design decisions can be achieved from a more comprehensive perspective. The focus of this work is on the provision of a hybrid decision model and framework for improved cooperative design decision support. The novelty of the work is in combination of different models or methods, algorithms for making collaborative design decisions in both objective and subjective natures, in particular the fuzzy negotiation mechanism using the hybrid decision model. The developed hybrid decision model and framework are generic and flexible enough to be used in a variety of decision problems. Finally, the proposed hybrid decision model and framework are illustrated with applications in collaborative concept evaluation and selection in product family design for mass customization.

Xuanee F. Zha, Ram D. Sriram, Marco G. Fernandez, Farrokh Mistree, Knowledge-intensive collaborative decision support for design processes: A hybrid decision support model and agent, Computers in Industry, Volume 59, Issue 9, December 2008, Pages 905-922, ISSN 0166-3615, 10.1016/j.compind.2008.07.009.
(http://www.sciencedirect.com/science/article/pii/S0166361508000857)
Keywords: Decision-based design; Hybrid; Decision model; Fuzzy negotiation; Autonomous decision agent; Multi-agent framework