In the field of classification problems, we often encounter classes with a very different percentage of patterns between them, classes with a high pattern percentage and classes with a low pattern percentage. These problems receive the name of “classification problemswith imbalanced data-sets”. In this paperwe study the behaviour of fuzzy rule based classification systems in the framework of im...

Based on fuzzy set theory, this paper proposes a novel weighting method for spatial adaptive patch-based image denoising algorithm which can be considered as an extension of nonlocal means filtering. First, a fuzzy clustering algorithm for weighting data points is applied to reduce the estimate bias which arises from the unrelated points. The weighting function is determined by optimal fuzzy pa...

This paper presents an explanation of a fuzzy model considering the correlation among components of input data. Generally, fuzzy models have a capability of dividing an input space into several subspaces compared to a linear model. But hitherto suggested fuzzy modeling algorithms have not taken into consideration the correlation among components of sample data and have addressed them independen...

Most research in opinion mining has been focused on the classification of opinion orientations expressed in text content. Although this classification is useful and important, the sentiments opposite to the opinion expressed in text content are more and more interesting for the decision makers. On the other hand, such opposite sentiments often contain imprecise information and cannot be describ...

Association rule mining is concerned with the discovery of interesting association relationships hidden in databases. Existing algorithms typically assume that data characteristics are stable over time. Their main focus is therefore to mine association rules in an efficient manner. However, the world constantly changes. This makes the characteristics of real-life entities represented by the dat...

It is important for the design of a distributed quantum circuit (DQC) to minimize communication cost in k -way balanced partitioning. In this article, given an original (QC), partitioning number , maximum capacity δ inside each partition, and size tolerance γ between two partitions, new (δ, γ)-...

In this work a new set of clustering criteria for the structuralization of universes in the logical combinatory approach of the Pattern Recognition Theory is introduced. The criteria are considered for classical partitions and covers as well as fuzzy classes. The existing relationships between these criteria are studied. An example of an application of the criteria introduced herein is also inc...

Thematic maps of spatial data are constructed by using standard thematic classification methods that do not allow management the uncertainty and, consequently, evaluation reliability resulting map. We propose a novel fuzzy-based method applied to construct in Geographical Information Systems. An initial fuzzy partition domain features dataset is triangular numbers; our finds an optimal evaluati...