Fuzzy logic: a practical approach
Fuzzy logic: a practical approach
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Tool steel materials selection under fuzzy environment
Fuzzy Sets and Systems
Is there a need for fuzzy logic?
Information Sciences: an International Journal
An extension of TOPSIS for group decision making
Mathematical and Computer Modelling: An International Journal
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Expert Systems with Applications: An International Journal
A fuzzy logic application for selecting layered manufacturing techniques
Expert Systems with Applications: An International Journal
A revised method for ranking fuzzy numbers using maximizing set and minimizing set
Computers and Industrial Engineering
Incorporating utility and cloud theories for owner evaluation in tendering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Parting curve selection and evaluation using an extension of fuzzy MCDM approach
Applied Soft Computing
Hi-index | 12.06 |
Wear and corrosion are the most important factors that the surface of the engineering parts must confront. The need for protection and improvement of the mechanical characteristics of the surface of engineering parts can be to some extent satisfied by coatings. Coatings are considered as an excellent solution when resistance to corrosion, oxidation or low friction is demanded, but due the complexity of selecting the appropriate one, engineers often avoid them. The need for simultaneous consideration of qualitative and quantitative properties, render the use of classic material selection theories inadequate. An expert system for coating selection is presented in this paper, which can handle both qualitative and quantitative variables. The mathematical model used combines the multi-criteria decision making theories (MCDM) together with the fuzzy sets theory. The ''Max-Min set'' method is applied to calculate the ordering value of the alternatives while the TOPSIS method is used to rank them. A numerical example is provided to illustrate the method. Finally, the process presented can be easily computerized, to create the relative software.