Abstract
A new approach based on the fuzzy set 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, amount of information and its evaluation based on statistical considerations (classical approach), theory of algorithms (algorithmic approach), and pattern recognition theory (image approach). Approaches to processing of fuzzy information under incomplete definition of the vector of input attributes based on fuzzy set theory are proposed. Their analysis is carried out, the limits of their use and the fields of efficient application are established.
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Translated from Kibernetika i Sistemnyi Analiz, No. 4, July–August, 2019, pp. 133–144.
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Zaiats, V.M., Rybytska, O.M. & Zaiats, M.M. An Approach to Assessment of the Value and Quantity of Information in Queueing Systems Based on Pattern Recognition and Fuzzy Sets Theories. Cybern Syst Anal 55, 638–648 (2019). https://doi.org/10.1007/s10559-019-00172-1
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DOI: https://doi.org/10.1007/s10559-019-00172-1