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Fuzzy ordered distance measures
by
Xu, Zeshui
in
Artificial Intelligence
/ Calculus of Variations and Optimal Control; Optimization
/ Data mining
/ Decision making
/ Fuzzy
/ Fuzzy logic
/ Fuzzy set theory
/ Intervals
/ Linguistics
/ Mathematical Logic and Foundations
/ Mathematics
/ Mathematics and Statistics
/ Medical diagnosis
/ Operations Research/Decision Theory
/ Optimization
/ Pattern recognition
/ Probability Theory and Stochastic Processes
/ Studies
2012
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Fuzzy ordered distance measures
by
Xu, Zeshui
in
Artificial Intelligence
/ Calculus of Variations and Optimal Control; Optimization
/ Data mining
/ Decision making
/ Fuzzy
/ Fuzzy logic
/ Fuzzy set theory
/ Intervals
/ Linguistics
/ Mathematical Logic and Foundations
/ Mathematics
/ Mathematics and Statistics
/ Medical diagnosis
/ Operations Research/Decision Theory
/ Optimization
/ Pattern recognition
/ Probability Theory and Stochastic Processes
/ Studies
2012
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Do you wish to request the book?
Fuzzy ordered distance measures
by
Xu, Zeshui
in
Artificial Intelligence
/ Calculus of Variations and Optimal Control; Optimization
/ Data mining
/ Decision making
/ Fuzzy
/ Fuzzy logic
/ Fuzzy set theory
/ Intervals
/ Linguistics
/ Mathematical Logic and Foundations
/ Mathematics
/ Mathematics and Statistics
/ Medical diagnosis
/ Operations Research/Decision Theory
/ Optimization
/ Pattern recognition
/ Probability Theory and Stochastic Processes
/ Studies
2012
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Journal Article
Fuzzy ordered distance measures
2012
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Overview
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.
Publisher
Springer US,Springer Science + Business Media B.V,Springer Nature B.V
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