期刊名称：Proceedings of the Canadian Engineering Education Association
出版年度：2011
语种：English
出版社：The Canadian Engineering Education Association (CEEA)
摘要：Fast changing global markets demand that manufacturers quickly develop products that are simultaneously cost-effective and meet stakeholder needs. To survive in the hyper competitive environment of the information society, innovative product design is essential. However, it can be difficult for designers to identify whether the design is a “good” design before a product is manufactured and marketed. This paper develops a model to quantify the impor-tance of good design characteristics. Through the use of cluster-fuzzy inference algorithm, quantified design “goodness” weights are generated based on surveys of rank ordered “goodness” characteristics. The cluster-fuzzy weights are compared with weights obtained from statistical analysis and found to have similar trends, but provides better insight to the relationship with rest of the characteristics. A cluster-fuzzy approach is an effective tool to de-termine important design parameters in the early stages of design.
