Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
IEEE Spectrum
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Fuzzy logic to improve the robustnesss of Decision Support Systems under uncertainty
Computers and Industrial Engineering
The development of a hybrid intelligent system for developing marketing strategy
Decision Support Systems
Practical Applications of Fuzzy Technologies
Practical Applications of Fuzzy Technologies
Designing Complex Organizations
Designing Complex Organizations
Marketing Engineering: Computer-Assisted Marketing Analysis and Planning
Marketing Engineering: Computer-Assisted Marketing Analysis and Planning
Fuzzy Sets in Approximate Reasoning and Information Systems
Fuzzy Sets in Approximate Reasoning and Information Systems
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
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
Computer assisted decision making for new product introduction investments
Computers in Industry
Expert Systems with Applications: An International Journal
International Journal of Computer Integrated Manufacturing
The use of fuzzy logic in product family development: literature review and opportunities
Journal of Intelligent Manufacturing
Supporting product design by anticipating the success chances of new value profiles
Computers in Industry
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The aim of this study is to accelerate new product introduction and to improve the quality of decision-making in new product development (NPD) process under uncertain conditions. We first present the uncertainty factors related to NPD and also give existing decision-making techniques that help the decision makers to reduce their risks under uncertainty. Basically, we are interested in two stages of new product decision-making: the choice of a new product idea ("go"/"no go" decision) and the choice of the right implementation order of the selected product ideas. To achieve this, we propose an integrated approach based on fuzzy logic, neural networks and multi criteria decision-making to make the most appropriate decisions. By utilizing artificial intelligent techniques, we manage to accelerate the selection process. Finally, a case study in a toy manufacturing firm is given to demonstrate the potential of the methodology.