In this paper we propose a new heuristic semi-supervised fuzzy co-clustering algorithm (SS-HFCR) for categorization of large web documents. In this approach, the clustering process is carried out by incorporating some prior knowledge in the form of pair-wise constraints provided by users into the fuzzy co-clustering framework. Each constraint specifies whether a pair of documents “must” or “can...

Extended abstract Engineering conventional methods of advanced control theory and the technique design of automatic control systems were formed in the past century. In particular, the background and foundations of stochastic learning, adaptive and self-organization control of complex dynamic systems in general, with time-dependent (variable) structure under information uncertainty conditions we...

A novel contrast image enhancement of fingerprint images using intuitionistic type II fuzzy set theory is recommended in this work. The method of Hamacher T co-norm(S norm) which generates a new membership function with the help of upper and lower membership function of type II fuzzy set. The finger print identification is one of the very few techniques employed in forensic science to aid crimi...

A novel contrast image enhancement of fingerprint images using intuitionistic type II fuzzy set theory is recommended in this work. The method of Hamacher T co-norm(S norm) which generates a new membership function with the help of upper and lower membership function of type II fuzzy set. The finger print identification is one of the very few techniques employed in forensic science to aid crimi...

This paper starts with the local textural information of ultrasound thyroid images. The recent feature extraction methods are presented with the different application areas. The basic objective of this study is to identify and represent the performance of a novel approach for texture characterization of thyroid ultrasound images. The method proposed here should reduce the uncertainty produced b...

The Section on Medical Expert and Knowledge-Based Systems at the Department of Medical Computer Sciences pursues methodological research in and practical development of knowledge-based computer systems to assist in the decision-making processes for all areas of medical application. Vagueness of medical terms, uncertainty in the co-occurrence of medical entities, and incompleteness in medical th...

The problem of sparse fuzzy rule bases is introduced. Because of the high computational complexity of the original compositional rule of inference (CRI) method, it is strongly suggested that the number of rules in a final fuzzy knowledge base is drastically reduced. Various methods of analogical reasoning available in the literature are reviewed. The mapping style interpretation of fuzzy rules ...

background: since the industrial revolution, the rate of industrialization and urbanization has increased dramatically. regarding this issue, specific regions mostly located in developing countries have been confronted with serious problems, particularly environmental problems among which air pollution is of high importance. methods: eleven parameters, including co, so 2 , pm 10 , pm 2.5 , o 3 ...