On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Multistage Fuzzy Control: A Prescriptive Approach
Multistage Fuzzy Control: A Prescriptive Approach
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Group decision making based on multiple types of linguistic preference relations
Information Sciences: an International Journal
Fuzzy Sets and Systems
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
New decision-making techniques and their application in the selection of financial products
Information Sciences: an International Journal
Norms induced from OWA operators
IEEE Transactions on Fuzzy Systems
Consensus models for AHP group decision making under row geometric mean prioritization method
Decision Support Systems
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
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Xu and Chen (J Syst Sci Syst Eng 17:432---445, 2008) introduced a type of ordered weighted distance measures called ordered weighted distance (OWD) measures whose fundamental aspect is the reordering step, which can be used in many actual fields, including group decision making, medical diagnosis, data mining, and pattern recognition, etc. The OWD measures are very suitable to deal with situations where the input data are expressed in exact numerical values. In this paper, we consider situations with linguistic, interval or fuzzy preference information, and develop some fuzzy ordered distance measures, such as linguistic ordered weighted distance measure, uncertain ordered weighted distance measure, linguistic hybrid weighted distance measure, and uncertain hybrid weighted distance measure, etc. After that, based on hybrid weighted distance measures, we establish a consensus reaching process of group decision making with linguistic, interval, triangular or trapezoidal fuzzy preference information.