Open AccessIntelligent information system for supporting design solutions in the conditions of multivariate selection
Author(s) -
M Yu Sergeev,
Т. И. Сергеева,
Н И Гребенникова,
Dan Popov
Publication year - 2021
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 - 10.1088/1742-6596/2094/3/032020
Subject(s) - selection (genetic algorithm) , multivariate statistics , set (abstract data type) , computer science , software , data mining , artificial intelligence , machine learning , programming language
The modeling of multivariate choice problems in the design of products within the framework of an information and software system is considered. The typical elements and functions of the information and software system of multivariate choice are given. Models of optimization problems of forming acceptable sets of alternative solutions when choosing analogs of parts and components are proposed. The formation of the initial set of alternative solutions is carried out on the basis of an assessment of the design, technological, electrical and operational characteristics of the alternatives of choice. The formalization of the problem of the final selection of the composition of parts and components according to technical and economic indicators is given. The proposed models are based on the use of Boolean variables describing the alternatives of choice. The structure of a specialized database of bath rooms for storing the characteristics of parts and components and the results of intermediate and final selection of design solutions is also given.