NDLI: Collaborative Decision Making by Ensemble Rule Based Classification Systems

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Collaborative Decision Making by Ensemble Rule Based Classification Systems

Content Provider	Semantic Scholar
Author	Liu, Han Gegov, Alexander E.
Copyright Year	2014
Abstract	Rule based classification is a popular approach for decision making. It is also achievable that multiple rule based classifiers work together for group decision making by using ensemble learning approach. This kind of expert system is referred to as ensemble rule based classification system by means of a system of systems. In machine learning, an ensemble learning approach is usually adopted in order to improve overall predictive accuracy, which means to provide highly trusted decisions. This chapter introduces basic concepts of ensemble learning and reviews Random Prism to analyze its performance. This chapter also introduces an extended framework of ensemble learning, which is referred to as Collaborative and Competitive Random Decision Rules (CCRDR) and includes Information Entropy Based Rule Generation (IEBRG) and original Prism in addition to PrismTCS as base classifiers. This is in order to overcome the identified limitations of Random Prism. Each of the base classifiers mentioned above is also introduced with respects to its essence and applications. An experimental study is undertaken towards comparative validation between the CCRDR and Random Prism. Contributions and Ongoing and future works are also highlighted.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://hanliu94.files.wordpress.com/2015/04/book-chapter-granular-computing-and-decision-making.pdf
Alternate Webpage(s)	https://researchportal.port.ac.uk/portal/files/2306222/Book_Chapter_Granular_Computing_and_Decision_Making_.pdf
Language	English
Access Restriction	Open
Subject Keyword	Classification Clinical Decision-Making Decision Making Ensemble learning Entity Name Part Qualifier - adopted Entropy (information theory) Experiment Expert system Machine learning Review [Publication Type] Rule (guideline) Rule 90 System of systems
Content Type	Text
Resource Type	Article

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