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Feature clustering is a powerful method to reduce the dimensionality of feature vectors for text classification. In this paper, we propose a fuzzy similarity-based self-constructing algorithm for feature clustering. The words in the feature vector of a document set are grouped into clusters, based on similarity test. Words that are similar to each other are grouped into the same cluster. Each cluster...
Multi-label classification learning concerns the determination of categories in the situation where one pattern may belong to more than one category. In this paper we propose a mixture approach, named FSMLKNN, which combines Fuzzy Similarity Measure (FSM) and Multi-Label K-Nearest Neighbor (MLKNN) for multi-label document classification. One of the problems associated with KNN-like approaches is its...
In this paper, a new method is proposed for calculating the correlation coefficient for intuitionistic fuzzy sets (IFSs) by using the notion of mathematical statistics. The value of correlation coefficient lying in [-1, 1] computed from our proposed formula not only can indicate the strength of the relationship between IFSs, but also show that the intuitionistic fuzzy sets are positively or negatively...
In this paper, a new similarity measure between interval-valued fuzzy sets (IvFSs) is presented. By using the proposed measure, we can formulate a new method for interval- valued fuzzy(IvF) reasoning with interval-valued fuzzy truth. At last, a weighted IvF reasoning method with IvF truth is also developed by considering the weight factor of each variable in the antecedent of IvF rule contributing...
Classifier ensemble is now an active area of research in machine learning and pattern recognition. Fuzzy classification is an important application of fuzzy set. In this paper, we propose a fuzzy classifier with kenerl fuzzy C-means clustering (KFCMC) algorithm. Based on such fuzzy classifier, the approaches of constructing fuzzy classifier ensemble system are introduced. These approaches include...
We propose a new representation of calendars such that users can specify fuzzy calendar constraints to discover asynchronous periodical association rules embedded in temporal databases. We borrow the fuzzy set theory and use the conjunction operation to construct fuzzy calendar patterns and each fuzzy calendar pattern represents an asynchronous periodical behavior. Moreover, different time intervals...
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