UDC 004.93.1; 681.142
1 National University of Water Management and Natural Resources, Rivne, Ukraine, and University of Technology and Nature in Bydgoszcz, Poland
 vasyl.zaiats@utp.edu.pl
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AN APPROACH TO EVALUATING THE VALUES AND QUANTITY OF INFORMATION
IN QUEUEING SYSTEMS BASED ON PATTERN RECOGNITION
AND FUZZY SETS THEORIES
Abstract. A new approach based on the pattern recognition theory is proposed, which allows one to quantify the value of information. Different approaches to definition and calculation of basic concepts of information theory are considered, in particular, the amount of information and its evaluation, based on statistical considerations (the classical approach), theory of algorithms (algorithmic approach), and theory of pattern recognition (image approach). Approaches to processing of fuzzy information under incomplete definition of the vector of input attributes based on the theory of fuzzy sets and measures are proposed. Their analysis is carried out, the limits of their use and the fields of efficient application are established.
Keywords: information theory, information quantity, information value, probability, fuzzy set, fuzzy logic, queueing systems.
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