Synthesis Method of Flash Graphs for Optimal Search of Manufacturing Subsystems Recognised on Basis of Composite Bayes Task Solution
Journal: TEM JOURNAL - Technology, Education, Management, Informatics (Vol.8, No. 1)Publication Date: 2019-02-28
Authors : V.N. Shepel N.V. Speshilova V.A. Tripkosh R.R. Rakhmatullin;
Page : 144-149
Keywords : Economics and industrial management; flow graph; situation identification; Bayesian composite task;
Abstract
The decision-making algorithm selection is one of the problems that modern economics, industrial management and situation identification process face. The Bayesian composite approach is considered to be the safest way for algorithm identification. However, the approach based on Bayesian composite rules is time-consuming and computationally intensive, that`s why it is important to develop the method, when combined with the Bayesian approach, will enable to scale back the computation. The article describes the synthesis method of flow graphs for optimal search within the member group (including the search within the industrial structure) and suggests this method as the main implementable algorithm for situation identification, based on Bayesian composite rule for decision-making. Such scientific methods as mathematical techniques of graph theory, algorithm and combination methods, probability theory method, and methods of statistical analysis were used in the research.
Other Latest Articles
- A Modern Quality Assurance System - Condition and Support to an Efficient Management
- Benefits that Attract Industry to Implement ISO 28000 to Secure Supply Chain
- Car Price Prediction using Machine Learning Techniques
- Automated Visual Inspection for Bottle Caps Using Fuzzy Logic
- Corporate Information Infrastructure – Management Aspects
Last modified: 2019-03-03 01:52:45