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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.