Zobrazeno 1 - 8
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pro vyhledávání: '"Oļegs Užga-Rebrovs"'
Autor:
Gaļina Kuļešova, Oļegs Užga-Rebrovs
Publikováno v:
Information Technology and Management Science; Vol 23 (2020): Information Technology and Management Science; 41-44
Any data in an implicit form contain information of interest to the researcher. The purpose of data analysis is to extract this information. The original data may contain redundant elements and noise, distorting these data to one degree or another. T
Autor:
Oļegs Užga-Rebrovs, Andrejs Radionovs
Publikováno v:
Information Technology and Management Science; Vol 20, No 1 (2017): Information Technology and Management Science; 34-39
Information Technology and Management Science, Vol 20, Iss 1, Pp 34-39 (2017)
Information Technology and Management Science, Vol 20, Iss 1, Pp 34-39 (2017)
Due to the increased spread of invasive animals and plants in the territory of Latvia, the necessity of ecological risk assessment related to such kind of spread has grown lately. In cases with sufficient statistical data, the risk assessment may be
Autor:
Gaļina Kuļešova, Oļegs Užga-Rebrovs
Publikováno v:
Information Technology and Management Science; Vol 21 (2018): Information Technology and Management Science; 104-110
The aim of the paper is to examine procedures of descriptive statistics in the case when the values of relevant attribute in a sample are set in the form of fuzzy categories. The paper provides alternative definitions of a fuzzy random variable, and
Autor:
Oļegs Užga-Rebrovs, Gaļina Kuļešova
Publikováno v:
Information Technology and Management Science, Vol 20, Iss 1, Pp 25-29 (2017)
Information Technology and Management Science; Vol 20, No 1 (2017): Information Technology and Management Science; 25-29
Information Technology and Management Science; Vol 20, No 1 (2017): Information Technology and Management Science; 25-29
Fuzzy inference systems are widely used in various areas of human activity. Their most widespread use lies in the field of fuzzy control of technical devices of different kind. Another direction of using fuzzy inference systems is modelling and asses
Autor:
Gaļina Kuļešova, Oļegs Užga-Rebrovs
Publikováno v:
Information Technology and Management Science, Vol 19, Iss 1, Pp 29-33 (2016)
Information Technology and Management Science; Vol 19, No 1 (2016): Information Technology and Management Science; 29-33
Information Technology and Management Science; Vol 19, No 1 (2016): Information Technology and Management Science; 29-33
During the past years, a rapid growth has been seen in the descriptive approaches to decision choice. As opposed to normative expected utility theory, these approaches are based on the subjective perception of probabilities by the individuals, which
Autor:
Andrejs Radionovs, Oļegs Užga-Rebrovs
Publikováno v:
Information Technology and Management Science, Vol 19, Iss 1, Pp 16-22 (2016)
Information Technology and Management Science; Vol 19, No 1 (2016): Information Technology and Management Science; 16-22
Information Technology and Management Science; Vol 19, No 1 (2016): Information Technology and Management Science; 16-22
Being able to evaluate risks is an important task in many areas of human activity: economics, ecology, etc. Usually, environmental risk assessment is carried out on the basis of multiple and sometimes conflicting factors. Using multiple criteria deci
Autor:
Oļegs Užga-Rebrovs, Gaļina Kuļešova
Publikováno v:
Scientific Journal of Riga Technical University. Computer Sciences. 45
Autor:
Oļegs Užga-Rebrovs
Publikováno v:
Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference; Vol 2 (2009): Environment. Technology. Resources. Proceedings of the 7th International Scientific and Practical Conference. Volume 2; 169-176
Knowledge discovering and representing in information systems has evolved into an important area of research because of theoretical challenges and practical representing unknown knowledge in data. Rough set theory is a mathematical formalism for repr