Open AccessOn the possibility of scientific knowledge formalization by fuzzy logic methods
Author(s) -
В. В. Серов
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1399/3/033043
Subject(s) - fuzzy logic , computer science , interpretation (philosophy) , identification (biology) , field (mathematics) , artificial intelligence , object (grammar) , subject (documents) , mathematics , programming language , botany , library science , pure mathematics , biology
The issues of formalizing scientific information by fuzzy logic methods are considered. The object of study is the generally accepted theory and knowledge; in our case it will be molecular spectroscopy. The method will be applied calculus of fuzzy first-order predicates. Examples of formalizing knowledge from the field of IR spectroscopy are given, as well as methods for solving problems of a qualitative nature (interpretation, prediction, identification) with an assessment of the truth of the results. The possibility of using these methods for the development of expert and intelligent systems in various subject areas is shown.