A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
A new approach based on soft computing to accelerate the selection of new product ideas
Computers in Industry
International Journal of Intelligent Systems
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
Group-based ER-AHP system for product project screening
Expert Systems with Applications: An International Journal
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
A new evaluation model for intellectual capital based on computing with linguistic variable
Expert Systems with Applications: An International Journal
Design concept evaluation in product development using rough sets and grey relation analysis
Expert Systems with Applications: An International Journal
A hybrid approach to concept selection through fuzzy analytic network process
Computers and Industrial Engineering
Evaluating new product development performance by fuzzy linguistic computing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
How to design and utilize online customer center to support new product concept generation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
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Many companies focus on how the product concept crosses through the fuzzy front end FFE of the final gate to become a new product development NPD project. Evaluation of product concepts is a gamble in that a wrong decision to enter the product development process may waste time and money. Although analytic hierarchy process AHP and some of its extension methods are widely used for this purpose, their processes consist of pairwise comparisons, meaning that multiple criteria easily confuse judgments and hinder evaluation for decision-makers in practice. Therefore, this study proposes a 2-tuple fuzzy linguistic computing analysis based on fuzzy set theory and multi-criteria decision-making MCDM to solve this problem. The criteria for product concept selection are completely displayed in an evaluation hierarchy from the theoretical perspective. An illustrative example of a product concept evaluation model is used to demonstrate the proposed methodology. The results indicate that it is an effective approach to prioritizing potential NPD projects from a set of feasible product concepts under budget constraints in FFE. In addition, it is feasible to manipulate the evaluation processes by computers, which can reduce the time and mistakes of information translation, and avoid information loss through computing with words.