Expert systems and fuzzy systems
Expert systems and fuzzy systems
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
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
Product Development Decisions: A Review of the Literature
Management Science
Computers and Industrial Engineering
International Journal of Intelligent Systems
A methodology of determining aggregated importance of engineering characteristics in QFD
Computers and Industrial Engineering
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
Evaluating firm's sustainable production indicators in uncertainty
Computers and Industrial Engineering
Using QFD and ANP to analyze the environmental production requirements in linguistic preferences
Expert Systems with Applications: An International Journal
A new integrated design concept evaluation approach based on vague sets
Expert Systems with Applications: An International Journal
Application of analytic hierarchy process in just-in-time manufacturing systems: a review
International Journal of Data Analysis Techniques and Strategies
Designing a model of FANP in brand image decision-making
Applied Soft Computing
Application of fuzzy analytic network process for supplier selection in a manufacturing organisation
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Evaluation of new service concepts using rough set theory and group analytic hierarchy process
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Sustainable R&D portfolio assessment
Decision Support Systems
Computer Standards & Interfaces
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
The Cournot production game with multiple firms under an ambiguous decision environment
Information Sciences: an International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Evaluating conceptual design alternatives in a new product development (NPD) environment has been one of the most critical issues for many companies which try to survive in the fast-growing world markets. Therefore, most companies have used various methods to successfully carry out this difficult and time-consuming evaluation process. Of these methods, analytic hierarchy process (AHP) has been widely used in multiple-criteria decision-making (MCDM) problems. But, in this study, we used analytical network process (ANP), a more general form of AHP, instead of AHP due to the fact that AHP cannot accommodate the variety of interactions, dependencies and feedback between higher and lower level elements. Furthermore, in some cases, due to the vagueness and uncertainty on the judgments of a decision-maker, the crisp pairwise comparison in the conventional ANP is insufficient and imprecise to capture the right judgments of the decision-maker. Therefore, a fuzzy logic is introduced in the pairwise comparison of ANP to make up for this deficiency in the conventional ANP, and is called as fuzzy ANP. In short, in this paper, a fuzzy ANP-based approach is proposed to evaluate a set of conceptual design alternatives developed in a NPD environment in order to reach to the best one satisfying both the needs and expectations of customers, and the engineering specifications of company. In addition, a numerical example is presented to illustrate the proposed approach.