Graph-Based Decision Making in Industry

Decision-making in industry can be focused on different types of problems. Classification and prediction of decision problems can be solved with the use of a decision tree, which is a graph-based method of machine learning. In the presented approach, attribute-value system and quality function deplo...

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Main Author: Kutschenreiter-Praszkiewicz, Izabela (Author)
Format: Ebooks
Published: IntechOpen, 2017-12-20.
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042 |a dc 
100 1 0 |a Kutschenreiter-Praszkiewicz, Izabela  |e author 
245 0 0 |a Graph-Based Decision Making in Industry 
260 |b IntechOpen,   |c 2017-12-20. 
500 |a https://mts.intechopen.com/articles/show/title/graph-based-decision-making-in-industry 
520 |a Decision-making in industry can be focused on different types of problems. Classification and prediction of decision problems can be solved with the use of a decision tree, which is a graph-based method of machine learning. In the presented approach, attribute-value system and quality function deployment (QFD) were used for decision problem analysis and training dataset preparation. A decision tree was applied for generating decision rules. 
540 |a https://creativecommons.org/licenses/by/3.0/ 
546 |a en 
690 |a Graph Theory - Advanced Algorithms and Applications 
655 7 |a Chapter, Part Of Book  |2 local 
786 0 |n https://www.intechopen.com/books/5842 
787 0 |n ISBN:978-953-51-3772-6 
856 \ \ |u https://mts.intechopen.com/articles/show/title/graph-based-decision-making-in-industry  |z Get Online