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Rough set theory is a useful mathematical tool that deals with vagueness and uncertainty in data. It has been applied to many computer scientific fields, such as data mining, machine learning, pattern recognition, and expert systems. The main objective of this paper is to investigate the applications of rough set theory in the field of information retrieval. By classifying and analyzing the existing...
With the growing use of networked solutions and services in the Information Society, many citizen-oriented services are planned not only in utility or e-governance sectors, but also in other information-centric human applications. Conventional DBMS may have either two-tier or three-tier client/server architecture [19]. These are already being used on the Internet. Web Applications provide Network...
In the theory of the concept lattices, the structure of a concept lattice is the base of data analysis and is very important. This paper mainly constructs two kinds of new concept lattices using the approximation operators “ □” and “◊” respectively. And also studies the relations among new concept lattices, object-oriented concept lattice, property-oriented concept lattice and complementary concept...
Trust management in Multi Agent Systems plays a key role in today's growing need for such systems. Methods of trust management try to approximate a set of best agents, in terms of some pre-defined measures. The theory of Rough Sets deals with the approximation of classifying objects in an environment for which we do not have a certain definition. In this research, we propose a new trust management...
The rapid development of the Internet brings a new problem, which is how to rapidly and effectively retrieve needed information from vast number of web pages. In this paper, we propose a method mapping the user's requirements to web communities based on fuzzy rough sets. It could help to advance the Web information searching technology.
This work proposes a hybrid model for text document classification for information retrieval using Naive Bayes and Rough set theory. Rough set theory is used for feature reduction and Naive Bayes theorem is used for classification of documents into the predefined categories by means of the probabilistic values. The deployment of the proposed model is planned through an enhanced method of the utilization...
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