Fuzzy set based multi-attribute conceptual design evaluation

✍ Scribed by Dinesh Verma*; Caroline Smith; Wolter Fabrycky

• Publisher: John Wiley and Sons
• Year: 1999
• Tongue: English
• Weight: 918 KB
• Volume: 2
• Category: Article
• ISSN: 1098-1241
• DOI: 10.1002/(sici)1520-6858(1999)2:4<187::aid-sys1>3.0.co;2-e

✦ Synopsis

Identification of a need or functional/performance deficiency initiates conceptual design. Methods such as Quality Function Deployment (QFD), Checklists and Taxonomies (CAT), and Input/Output Matrices (IOM) provide a framework for translating a need into specific qualitative and quantitative customer requirements. Design concepts and technical solutions are then generated to address these requirements. This paper represents an extension of ongoing research in the application of fuzzy set methods to evaluate design concepts. Since imprecision and vagueness characterize this nascent design phase, the QFD method and Pughs concept selection process are modified and extended with concepts from fuzzy set theory . This fuzzy set based extension provides a rigorous mechanism for dealing with imprecise requirements and priorities, as well as the subjective correlation between customer and design requirements. Furthermore, the approach presented herein is discussed from the perspective of invoking Taguchis loss function during design concept feasibility analysis within conceptual system design.