Communications of the ACM - Special issue on parallelism
Entropy, distance measure and similarity measure of fuzzy sets and their relations
Fuzzy Sets and Systems
A comparative assessment of measures of similarity of fuzzy values
Fuzzy Sets and Systems
Similarity measure between fuzzy sets and between elements
Fuzzy Sets and Systems
A comparison of similarity measures of fuzzy values
Fuzzy Sets and Systems
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Hi-index | 0.00 |
Fuzzy similarity measures have been widely studied but their relationship with classification tasks have hardly been emphasized. Besides, what they just consider is the superficial difference between the objects to be compared without a deeper understanding of the domain. Intuition suggests that the similarity of objects needs to be modified in accordance to the manner in which they are classified. From the cognitive point of view it is clear that human beings modify their general knowledge as they achieve new experiences. This paper proposes a new distance measure based in the concept of fuzzy association between a predictive (fuzzy) value and the class value in a given memory of instances. This type of goal related similarity measure is new in the fuzzy context.