Generating fuzzy membership functions: a monotonic neural network model
Fuzzy Sets and Systems
Fuzzy logic and optimization models for implementing QFD
Proceedings of the 23rd international conference on on Computers and industrial engineering
Knowledge-Based Intelligent Techniques in Industry
Knowledge-Based Intelligent Techniques in Industry
Advanced Fuzzy Systems Design and Applications
Advanced Fuzzy Systems Design and Applications
Clustering and Artificial Neural Networks as a Tool to Generate Membership Functions
CONIELECOMP '06 Proceedings of the 16th International Conference on Electronics, Communications and Computers
Expert Systems with Applications: An International Journal
Integrating preference analysis and balanced scorecard to product planning house of quality
Computers and Industrial Engineering
Determining the final priority ratings of customer requirements in product planning by MDBM and BSC
Expert Systems with Applications: An International Journal
Evaluation of new service concepts using rough set theory and group analytic hierarchy process
Expert Systems with Applications: An International Journal
A rough set approach for estimating correlation measures in quality function deployment
Information Sciences: an International Journal
Rough set-based approach for modeling relationship measures in product planning
Information Sciences: an International Journal
An integrated linguistic-based group decision-making approach for quality function deployment
Expert Systems with Applications: An International Journal
Affective and cognitive design for mass personalization: status and prospect
Journal of Intelligent Manufacturing
Use of ANP weighted crisp and fuzzy QFD for product development
Expert Systems with Applications: An International Journal
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Intense competition and sophisticated customer needs have resulted in the development of more complex products with a shorter lead time to market. One of the key factors in product development concerns the understanding and management of complex relationships between customers' needs and technical requirements. Usually these complex relationships are expressed using imprecise descriptions in the form of natural linguistic terms. Frequently, quality function deployment (QFD) is employed to manage design information and assist decision-making in human centered product development. This work proposes a rough set based QFD approach to manage the aforementioned imprecise design information in product development. A novel concept known as rough number^*, which is derived from the basic notions of rough sets, is proposed to manage the imprecise design information in QFD analysis. A case study on a bicycle design is used to illustrate the approach proposed. The result shows that the new approach proposed can effectively manage the imprecise design information and facilitate decision-making in product development.