Open AccessUsing of type-ii fuzzy sets and Z-numbers for expert group information formalization
Author(s) -
Olga Poleshchuk,
Bmstu
Publication year - 2020
Publication title -
lesnoj vestnik
Language(s) - English
Resource type - Journals
ISSN - 2542-1468
DOI - 10.18698/2542-1468-2020-5-116-121
Subject(s) - type (biology) , group (periodic table) , computer science , data mining , fuzzy logic , fuzzy set , reliability (semiconductor) , fuzzy number , data type , artificial intelligence , mathematics , natural language processing , programming language , ecology , power (physics) , chemistry , physics , organic chemistry , quantum mechanics , biology
Two models of formalizing group expert information based on fuzzy sets of the second type and Z-numbers have been developed. The construction of fuzzy sets of the second type and components of Z-numbers is carried out using full orthogonal semantic spaces. The construction of semantic spaces is carried out using statistical information or information obtained as a result of a direct survey of experts. The input information for the model based on fuzzy sets of the second type are linguistic estimates of objects. The input information for the model based on Z-numbers are linguistic estimates of objects and the reliability of these estimates. The developed models expand the possibilities of processing expert information, allow preserving the individual characteristics of expert criteria embedded in the data, and at the same time correctly process different types of uncertainty inherent in this data.