Information Sciences: an International Journal
Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Optimisation and decision
A new approach based on soft computing to accelerate the selection of new product ideas
Computers in Industry
Computers and Industrial Engineering
A method for group decision making with multi-granularity linguistic assessment information
Information Sciences: an International Journal
Ranking of customer requirements in a competitive environment
Computers and Industrial Engineering
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
Estimating the functional relationships for quality function deployment under uncertainties
Fuzzy Sets and Systems
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy Optimization and Decision Making
Supplier selection using fuzzy quality data and their applications to touch screen
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
Towards a QFD-based expert system: A novel extension to fuzzy QFD methodology using rough set theory
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Risk prioritization in failure mode and effects analysis under uncertainty
Expert Systems with Applications: An International Journal
Group decision making problems in a linguistic and dynamic context
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
A systematic approach to heterogeneous multiattribute group decision making
Computers and Industrial Engineering
Telecommunications Policy
A systematic methodology to deal with the dynamics of customer needs in Quality Function Deployment
Expert Systems with Applications: An International Journal
Fuzzy multiple attributes group decision-making based on fuzzy induced OWA operators
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Computers and Industrial Engineering
Green supply implementation based on fuzzy QFD: an application in GPLM system
WSEAS TRANSACTIONS on SYSTEMS
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A group agreement-based approach for decision making in environmental issues
Environmental Modelling & Software
A new incomplete preference relations based approach to quality function deployment
Information Sciences: an International Journal
An integrated linguistic-based group decision-making approach for quality function deployment
Expert Systems with Applications: An International Journal
Induced continuous Choquet integral operators and their application to group decision making
Computers and Industrial Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.07 |
As a customer-driven tool, quality function deployment (QFD) is widely used in product planning or improvement to achieve higher product performance and customer satisfaction. QFD uses a matrix called the house of quality (HoQ) to translate customer requirements (CRs) into engineering characteristics (ECs). Constructing the HoQ, which includes determining the importance weights of CRs, the correlation matrix among ECs and the relationship matrix between CRs and ECs, is an important issue in the application of QFD. However, decision-makers (DMs) participating the construction of HoQ tend to give their individual judgments in multi-format or multi-granularity depending on their different knowledge, experience, culture and circumstance. Furthermore, these judgments are more difficult to assess with the precise quantitative forms due to the vagueness and uncertainty existed in the early stage of new product development. In this paper, a group decision-making approach incorporating with two optimization models (i.e. logarithmic least squares model and weighted least squares model) is proposed to aggregate these multi-format and multi-granularity linguistic judgments. Fuzzy set theory is utilized to address the uncertainty in the decision-making process. The proposed method is illustrated with a real-world case of horizontal directional drilling machine. The application indicates that the group decision-making method may be a promising tool for constructing the HoQ.