Expert systems and fuzzy systems
Expert systems and fuzzy systems
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
A revised weighted sum decision model for robot selection
Computers and Industrial Engineering - Special issue on computer aided maintenance
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Computers and Operations Research
Fuzzy Mathematical Models in Engineering and Management Science
Fuzzy Mathematical Models in Engineering and Management Science
Computers and Industrial Engineering
Application of modified fuzzy ahp method to analyze bolting sequence of structural joints
Application of modified fuzzy ahp method to analyze bolting sequence of structural joints
International Journal of Intelligent Systems
Computer-aided machine-tool selection based on a Fuzzy-AHP approach
Expert Systems with Applications: An International Journal
A combined fuzzy AHP-goal programming approach to assembly-line selection
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Development of a decision support system for machining center selection
Expert Systems with Applications: An International Journal
Fuzzy analytic network process and its application to the development of decision support systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Soft computing based on interval valued fuzzy ANP-A novel methodology
Journal of Intelligent Manufacturing
A fuzzy ANP model for supplier selection as applied to IC packaging
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
A fuzzy QFD approach to determine supply chain management strategies in the dairy industry
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
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In this study, we utilize analytic network process (ANP), a more general form of AHP, for justifying stand-alone machine tools out of available alternatives in market due to the fact that AHP cannot accommodate the variety of interactions, dependencies and feedback between higher and lower level elements. However, due to the vagueness and uncertainty on judgments of a decision-maker, the crisp pair wise comparison in the conventional ANP seems to be insufficient and imprecise to capture the right judgments of the decision-maker. That is why, also in this paper, fuzzy number logic is introduced in the pair wise comparison of ANP to make up for this deficiency in the ANP. In short, here, an intelligent approach to machine tool selection (MTS) problem through fuzzy ANP is proposed to improve the imprecise ranking of company's requirements which is based on the conventional ANP. In order to reach to final solution, a preference ratio (PR) analysis is done by using the results of the fuzzy ANP, and investment costs of alternatives. In addition, a numerical example is presented to illustrate the proposed approach.