Abstract
Intellectual technologies which are used to do the tasks of identification and decision making in this book represent a combination of three independent theories:
- of fuzzy sets - as a means of natural language expressions and logic evidence formalization;
- of neural nets - artificial analogs of the human brain simulating the capability to learn;
- of genetic algorithms - as a means of optimal decision synthesis from a multiplicity of initial variants on which the operations of crossing, mutation and selection are performed.
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Rotshtein, A.P., Rakytyanska, H.B. (2012). Fundamentals of Intellectual Technologies. In: Fuzzy Evidence in Identification, Forecasting and Diagnosis. Studies in Fuzziness and Soft Computing, vol 275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25786-5_1
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