Component tolerance design for minimum quality loss and manufacturing cost
Computers in Industry
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Computers and Industrial Engineering
Information Sciences—Informatics and Computer Science: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design
Expert Systems with Applications: An International Journal
Design as integration of axiomatic design and design structure matrix
Robotics and Computer-Integrated Manufacturing
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
Multi-objective Group Decision Making: Methods, Software and Applications With Fuzzy Set Techniques
A complete cellular manufacturing system design methodology based on axiomatic design principles
Computers and Industrial Engineering - Special issue: Selected papers from the 30th international conference on computers; industrial engineering
A decision support system for fuzzy multi-attribute selection of material handling equipments
Expert Systems with Applications: An International Journal
Indicator design for passenger car using fuzzy axiomatic design principles
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Axiomatic design gives a design map to designers in order to establish a scientific basis, which improves design activities. In the classical axiomatic design (AD) approach, the relationships between functional requirements (FRs) and design parameters (DPs) are defined in crisp numbers notably ''0'' or ''1''. This definition restricts relevant designers due to the incomplete information or uncertainty in various circumstances. This study debates the adaptation of the current AD principles into fuzzy sets theory. Those transformations are expressed by the developed formulas to prove the independence degree of the design in quantitative manner. A numerical study illustrates the logic of the proposed ideas clearly. Consequently, the proposed methodology provides a genuine link to explain the correspondences among FRs and DPs in linguistic form.