2518-1092Research result. Information technologies2518-109210.18413/2518-1092-2016-1-3-42-51784SYSTEM ANALYSIS AND PROCESSING OF KNOWLEDGEMAIN PROVISIONS OF THE EXPERT SYSTEM WITH THE RULE OF INFERENCE BASED ON FUZZY TRUTH DEGREEMAIN PROVISIONS OF THE EXPERT SYSTEM WITH THE RULE OF INFERENCE BASED ON FUZZY TRUTH DEGREEMikhelevVladimir VladimirovichMikhelevVladimir VladimirovichSinyukVasily GrigorievichSinyukVasily Grigorievichvgsinuk@mail.ru20161300

The article discusses the process of fuzzy output based on the fuzzy extent to construct fuzzy inference systems of truth. Fuzzy inference systems play an important role in many applications of the fuzzy set theory, such as fuzzy expert systems and many others. At the heart of these systems are the logical rules of the form "If ..., then ...", in which the assumptions and conclusions are fuzzy concepts. The use of fuzzy sets and fuzzy truth degree with Zadeh compositional rule of inference allows to build such an expert system which can operate with both fuzzy and with clear inputs. On the other hand, the use of fuzzy truth degree significantly increases the efficiency of solving problems, as the computational complexity of the algorithm decreases.

The article discusses the process of fuzzy output based on the fuzzy extent to construct fuzzy inference systems of truth. Fuzzy inference systems play an important role in many applications of the fuzzy set theory, such as fuzzy expert systems and many others. At the heart of these systems are the logical rules of the form "If ..., then ...", in which the assumptions and conclusions are fuzzy concepts. The use of fuzzy sets and fuzzy truth degree with Zadeh compositional rule of inference allows to build such an expert system which can operate with both fuzzy and with clear inputs. On the other hand, the use of fuzzy truth degree significantly increases the efficiency of solving problems, as the computational complexity of the algorithm decreases.

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