Alexander Nikov

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The main Computational Intelligence (CI) models for personalization of interactive web systems are performance and application to personalization of interactive web systems. A taxonomy for personalization of interactive web systems based on CI methods is proposed. It uses two approaches to personalize web-based systems as profile generation and profile(More)
To cope with the increasing demand on educational opportunities in current educational environment by constrained resources available to the traditional education sectors, various Intelligent Tutoring Tools were developed for various topics in business education using cognitive apprenticeship framework (Collins et al., 1989). These tutoring tools engage the(More)
A web-based tool AirPolTool for air pollution prediction and control in Istanbul is developed. It models the relationship between local meteorological data and air pollution indicators concentrations like SO 2 , PM 10 and CO by using neural networks. AirPolTool presents on the user-friendly website three-days predictions of air pollution(More)
An approach for affective product design using a hybrid of tunable particle swarm optimization (PSO) and Kansei engineering is proposed. Customers' emotive responses to a product are collected using a questionnaire designed on Kansei engineering principles. They are used to create models which can suggest design parameters for the product that may(More)
The paper presents adaptation and optimization of the interaction structure of interactive systems by application of the control theory principles based on a fuzzy neural network. The interactive system is presented as a control system consisting of two parts: 1) plant of control or controlled plant (model of the real-life process) and 2) neuro-fuzzy-based(More)