Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Information Sciences: an International Journal
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
On a canonical representation of fuzzy numbers
Fuzzy Sets and Systems
A fuzziness measure for fuzzy numbers: applications
Fuzzy Sets and Systems
A new approach for ranking fuzzy numbers by distance method
Fuzzy Sets and Systems
Some remarks on distances between fuzzy numbers
Fuzzy Sets and Systems
Multidimensional least-squares fitting with a fuzzy model
Fuzzy Sets and Systems
Comparison of fuzzy numbers using a fuzzy distance measure
Fuzzy Sets and Systems - Fuzzy intervals
On cluster-wise fuzzy regression analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A fuzzy clustering methodology for linguistic opinions in group decision making
Applied Soft Computing
A fuzzy vector valued KNN-algorithm for automatic outlier detection
Applied Soft Computing
Metric spaces of fuzzy variables
Computers and Industrial Engineering
A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
A type-2 linguistic set theory and its application to multi-criteria decision making
Computers and Industrial Engineering
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
Knowledge-Based Systems
Fuzzy distance of triangular fuzzy numbers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Fuzzy Voronoi diagram for disjoint fuzzy numbers of dimension two
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The objective of this paper is to introduce a fuzzy distance measure for generalized fuzzy numbers (GFN). It computes the fuzzy distance between two generalized fuzzy numbers and also LR-type fuzzy numbers. The metric properties of the proposed measure are also studied. Some numerical examples have been considered here for applying the proposed fuzzy distance measure and the results are compared.