Recently Web mining has become a hot research topic, which combines two of the prominent research areas comprising of data mining and the World Wide Web (WWW) [8]. Web usage mining attempts to discover useful knowledge from the secondary data obtained from the interactions of the users with the Web. Web usage mining has become very critical for effective Web site management, business and suppor...

in this paper, new definitions of $l$-fuzzy closure operator, $l$-fuzzy interior operator, $l$-fuzzy remote neighborhood system, $l$-fuzzy neighborhood system and $l$-fuzzy quasi-coincident neighborhood system are proposed. it is proved that the category of $l$-fuzzy closure spaces, the category of $l$-fuzzy interior spaces, the category of $l$-fuzzy remote neighborhood spaces, the category of ...

The proliferation of computer networks has brought network security to the forefront. It has become imperative to devise new methods for network intrusion detection. Current methods are frequently unable to detect polymorphic or novel attack modes. In addition, the enormous volume of network traffic makes it difficult to monitor and evaluate all features of communication packets on the network....

This paper presents DEE, the Distributed Evolutionary Engine, a complete framework for the oo-line tuning of fuzzy-logic based software components using parallel adaptation algorithms. The system was implemented on a high-speed network of workstations by means of a general-purpose task distribution tool. After the description of DEE's architecture, the tuning of fuzzy software components is dis...

Designing the negotiation agents and equipped them with the fuzzy decision controller to determine the relaxation amount in the face of intense grid market pressure leads to enhance both success rate and speed of negotiation. However, the marketoriented grids are unpredictable as new opportunities and threats are constantly being introduced as grid resource consumers and owners enter and leave ...

One approach for system identification among many others is the fuzzy identification approach. The advantage of this approach compared to other analytical approaches is, that it is not necessary to make an assumption for the model to be used for the identification. In addition, the fuzzy approach can handle nonlinearities easier than analytical approaches. The Fuzzy–ROSA method is a method for ...

VHDL high level modelling and implementaiton of fuzzy systems p. 11 Some complexity results on fuzzy description logics p. 19 An evolutionary approach to ontology-based user model acquisition p. 25 Mathematical modeling of passage dynamic function p. 33 Bi-monotonic fuzzy sets lead to optimal fuzzy interfaces p. 39 Conversational agent model in intelligent user interface p. 46 A fuzzy frame-bas...

When the standard genetic algorithm is used to solve the fuzzy programming problem, poor convergence occurs. In order to overcome this defect, this paper presents a hybrid intelligent evolutionary algorithm based on nonlinear support vector machine (SVM) to solve the fuzzy programming problem. Firstly, based on the research of genetic algorithm, evolutionary strategy and genetic algorithm are c...

A method for incorporating fuzzy preferences into evolutionary multiobjective optimization is proposed. After introducing three commonly used models for describing fuzzy preferences, a method to convert fuzzy preferences into realvalued weight intervals is suggested. It is argued that to convert fuzzy preferences into interval-based weights is more consistent with the motivation of using fuzzy ...