Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Information Sciences—Informatics and Computer Science: An International Journal
Decision consolidation: criteria weight determination using multiple preference formats
Decision Support Systems
International Journal of Intelligent Systems
Incomplete linguistic preference relations and their fusion
Information Fusion
Intuitionistic preference relations and their application in group decision making
Information Sciences: an International Journal
Group decision making based on multiple types of linguistic preference relations
Information Sciences: an International Journal
An integrated group decision-making approach for new product development
International Journal of Computer Integrated Manufacturing - Industrial Engineering and Systems Management
Linguistic multiperson decision making based on the use of multiple preference relations
Fuzzy Sets and Systems
Integration of environmental considerations in quality function deployment by using fuzzy logic
Expert Systems with Applications: An International Journal
A green supplier selection model for high-tech industry
Expert Systems with Applications: An International Journal
International Journal of Computer Integrated Manufacturing
The Evaluation of the Incomplete Linguistic Preference Relations on the Performance of Web Shops
HIS '09 Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 02
Group decision making to better respond customer needs in software development
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 note on two methods for estimating missing pairwise preference values
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Soft computing of the Borda count by fuzzy linguistic quantifiers
Applied Soft Computing
An integrated decision framework for evaluating and selecting e-learning products
Applied Soft Computing
New product design using FDMS and FANP under fuzzy environment
Applied Soft Computing
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
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Merging sustainable development with the business, and taking goals into account from its three dimensions (i.e., economic, environmental and social) which are derived from customer and stakeholder requirements have been a potential source of competitive differentiation for firms. Academic and corporate interest in sustainable supply chain (SSC) management has also risen considerably in recent years. This paper examines the components and elements of SSC management and how they serve as a foundation for an evaluation framework. By using quality function deployment (QFD) as a product/system planning and improvement tool, an effective SSC structure can be obtained. QFD uses a matrix called the ''House of Quality'' (HoQ), and constructing the HoQ is a critical step in the application of QFD as it translates customer requirements into engineering characteristics. However, participants of HoQ construction sessions tend to provide information about their individual judgments in multiple formats such as numerically or linguistically depending on their different knowledge, experience, culture and circumstance. Furthermore, they can generate incomplete preferences which are challenging to assess in a consistent way. Therefore, the objective of this study is to apply an extended QFD methodology in SSC by introducing a new group decision making (GDM) approach that takes multiple preference formats and incomplete information into account and fusions different formats of expressions into one uniform group decision by means of the fuzzy set theory. To assess the validity of the proposed approach, a case study conducted at HAVI Logistics-Turkey is also presented in the paper.