Open AccessGeneralized assessment of the technical characteristics of agricultural machinery based on multi-criteria analysis
Author(s) -
V P Dimitrov,
L V Borisova
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/1010/1/012065
Subject(s) - mathematics , convolution (computer science) , function (biology) , computer science , statistics , operations research , econometrics , mathematical optimization , artificial intelligence , evolutionary biology , artificial neural network , biology
The article discusses the data of a comprehensive analysis of the technical characteristics of grain throwers based on multi-criteria analysis using two assessment methods - the generalized Harrington desirability function and the hierarchy analysis method. Four alternatives to grain throwers are considered. For each alternative, the values of 15 particular desirability criteria were calculated. As a result of the convolution of particular criteria, the best alternative is determined. The weightings of the criteria are determined. The vectors of local priorities are calculated. Comparative assessments of alternatives based on two methods are presented.