
Overview of the evaluation methods for the interpretable business decision support model for cybernetics and organization of production
Author(s) -
Dmitry Zuev,
Alexey Kalistratov,
Andrey Zuev,
Guennadiy I Afanasyev,
Georgiy I. Revunkov,
Alexey V Potudinskii
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/4/042047
Subject(s) - interpretability , cybernetics , production (economics) , computer science , management science , knowledge management , domain (mathematical analysis) , business model , artificial intelligence , operations research , engineering , management , mathematics , economics , macroeconomics , mathematical analysis
Authors made an overview of approach towards creation business decision support model. Authors underline requirements and evaluation methods for proposed model to be used in cybernetics and organization of production. Authors described domain problems and proposed interpretable model as a solution. Authors explored levels of the evaluation and chosen one that suits their problem. Authors also discuss business model influencing factors as local interpretability, severity of incompleteness, time constraints and level of user expertise.