Information Sciences: an International Journal
On a class of fuzzy c-numbers clustering procedures for fuzzy data
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
Fuzzy clustering procedures for conical fuzzy vector data
Fuzzy Sets and Systems
Multidimensional least-squares fitting with a fuzzy model
Fuzzy Sets and Systems
Multistage Fuzzy Control: A Prescriptive Approach
Multistage Fuzzy Control: A Prescriptive Approach
Comparison of fuzzy numbers using a fuzzy distance measure
Fuzzy Sets and Systems - Fuzzy intervals
Person Recognition through Eigeneyes Selection Based on Fuzzy Distance to Multiple Class Prototypes
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
A weighted fuzzy c-means clustering model for fuzzy data
Computational Statistics & Data Analysis
A New Approach for Solving Fuzzy Maximal Flow Problems
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Fuzzy Sets and Systems
On cluster-wise fuzzy regression analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A theoretical development on a fuzzy distance measure for fuzzy numbers
Mathematical and Computer Modelling: An International Journal
Fuzzy Voronoi diagram for disjoint fuzzy numbers of dimension two
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, a new triangular fuzzy distance is proposed for two triangular fuzzy numbers and this distance is developed and applied for two points in a K-dimensional space. In this fuzzy distance we use the left and right point. Its calculations are easier compared to the previous presented distances and its result is always a non negative fuzzy number. This distance can be widely used in Multiple Attribute Decision Making MADM techniques and data mining. Finally, some examples are presented to illustrate the benefits of this method.