- Multi-Criteria Decision Making
- Education and Cultural Studies
- Fuzzy Logic and Control Systems
- Psychology of Development and Education
- Metaheuristic Optimization Algorithms Research
- Fuzzy Systems and Optimization
- Transportation Systems and Safety
- Evolutionary Algorithms and Applications
- Educational Practices and Challenges
- Rough Sets and Fuzzy Logic
- Data Management and Algorithms
- Global Education Systems and Policies
- Innovative Educational Technologies
- Electrohydrodynamics and Fluid Dynamics
- Advanced Control Systems Design
- Cardiac electrophysiology and arrhythmias
- Social Issues in Poland
- Advanced Image and Video Retrieval Techniques
- Educational Innovations and Challenges
- Air Quality Monitoring and Forecasting
- Education, Leadership, and Health Research
- Educational Assessment and Improvement
- Education in Diverse Contexts
- Machine Learning and ELM
- Analog and Mixed-Signal Circuit Design
West Pomeranian University of Technology
2014-2023
National Institute of Telecommunications
2023
Postgraduate School of Molecular Medicine
2016-2018
The Jacob of Paradies University
2017
University of Szczecin
2002
A significant challenge in the current trend decision-making methods is problem’s class which decision-maker makes decisions based on partially incomplete data. Classic of multicriteria decision analysis are used to analyze alternatives described by using numerical values. At same time, fuzzy set modifications usually include uncertain data process. However, incompleteness something else. In this paper, we show two approaches identify models with The monolithic approach assumes creating one...
This paper describes preliminary research on the relationship between selection of characteristic values in COMET method and accuracy final ranking. Simulation studies three test functions are presented. These references to conducted simulations have been taken from literature. Thanks their application, human error can be excluded focus only methodical error. The presented experiment compares two approaches determining values. For each function, 10000 randomly selected sets generated based...
The TOPSIS method is widely used to support multi-criteria decision-making processes. In this method, one of the most important challenges choose an appropriate for standardizing decision matrix. There a problem with determining impact standardization on final result. Additionally, significant how identify criterion weighting vector. paper, we present solution taken from literature using four different methods normalization. Next, calculate ranking without identifying weights COMET method....
Our decisions are usually influenced by many factors, which makes it challenging to choose the optimal solution. The problem may be determine aspects should taken into account and how they influence final result. Multi-criteria decision analysis (MCDA) methods helpful in this case, allow evaluate defined alternatives despite lack of precise expert knowledge. In paper, COMET (Characteristic Objects Method) method was used create a multi-criteria model assess progression swimmers over season....
Artificial Neural Networks (ANNs) have proven to be a powerful tool for solving wide variety of real-life problems. The possibility using them forecasting phenomena occurring in nature, especially weather indicators, has been widely discussed. However, the various areas world differ terms their difficulty and ability preparing accurate forecasts. Poland lies zone with moderate transition climate, which is characterized by seasonality inflow many types air masses from different directions,...
Ventricular arrhythmias are an important cause of mortality in the acute myocardial infarction (MI). To elucidate effect omega-3 polyunsaturated fatty acids (PUFAs) on ventricular nonreperfused MI, rats were fed with normal or eicosapentaenoic acid (EPA) docosahexaenoic (DHA)-enriched diet for 3 weeks. Subsequently subjected to either MI induction sham operation. ECG was recorded 6 h after operation and episodes tachycardia/fibrillation (VT/VF) identified. Six hours epicardial monophasic...
We introduce a novel approach to extend flexibility of combinational multi-level networks synthesis based on information-theoretical measure (ITM). This problem is related optimization for networks, artificial evolution and machine learning in circuitry design. Using ITMs, we verify not only that an evolved network achieves the target functionality, but also this can be corrected simple regular way achieve it. demonstrate experimental results by evolutionary strategy gate-level design:...
To answer the question stated in title, we present and compare two approaches: first, a standard approach for solving dual fuzzy nonlinear systems (DFN-systems) based on Newton’s method, which uses 2D FN representation second, new approach, multidimensional arithmetic (MF-arithmetic). We use numerical example to explain how proposed MF-arithmetic solves DFN-system. analyze results from approaches, introduce an imprecision measure. discuss reasons why varies between both methods. The of...
System for Applied Behavioral Analysis (SYSABA) is a freeware web-based software developed in Poland that aids therapists who work with developmentally disordered children. A pioneer application adapted to Behavior (ABA) methodology and compliant the Polish Regulation of Ministry Education. part SYSABA module helps compose regulations ABA methodology, Individual Education-and-Therapeutic Program (pol. IPET). This development process guided by an expert system, including specialists'...
Particle Swarm Optimization (PSO) is a well-known and popular stochastic optimization method. The Lévy Flight (LF) properties were used to improve the canonical PSO known as premature convergence. was applied change each particle walk on fitness landscape. We analyze literature modifications that concluded Levy flight improved providing better search space exploration. Based this conclusion, we propose new approaches integrate with by changing initial points in learning strategies inertia...
Chess is a very demanding sport as it requires advanced planning and strategic thinking skills. The degree of difficulty the game also depends on time allotted for game, which can range from few minutes to several tens minutes. For this reason, games are divided into categories: standard, blitz, bullet. However, many chess players specialize in only some categories, difficult determine best player. It important keep proper ranking players. One way recognize their achievements FIDE...
Considers the evolutionary design of logical networks from computer-aided (CAD) point view. Scanning space all possible network solutions by a scanning window is crucial an paradigm. This basis for implementation CAD methods in order to improve recently obtained results on approach synthesis. Firstly, we introduce concept target style synthesis and show that it closely related problem multi-level over fixed library cells. Secondly, because search partitionable, use technique switching...
Appears in: EDULEARN17 Proceedings Publication year: 2017Pages: 3576-3580ISBN: 978-84-697-3777-4ISSN: 2340-1117doi: 10.21125/edulearn.2017.1781Conference name: 9th International Conference on Education and New Learning TechnologiesDates: 3-5 July, 2017Location: Barcelona, Spain