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Rule Extraction Model Based on Decision Dependency Degree
Joint Authors
Chen, Xinying
Li, Guanyu
Sun, Yunhao
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-29
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Rule extraction is the core in rough set.
Two procedures are contained in rule extraction: one is attribute reduction and another is attribute value reduction.
It was proved through computational complexity perspective that obtaining all the reduction, minimum attribute reduction, and minimum attribute value reduction is an NP problem.
So, generally, a heuristic reduction method is used to solve attribute reduction and attribute value reduction.
However, for most heuristic methods, it is hard to put into practice and has high cost on computational complexity.
Moreover, part of the methods extracted redundant rules.
To approach a quick and effective model for rule extraction in decision systems, against the concept of distinguishable relation, relevant concepts and basic theorems of rule extraction are proposed.
In order to get concise and accurate rules quickly, algorithms for finding conflict object set, finding duplicate object set, and finding redundant rules are given.
After that, using decision dependency degree as attribute importance to determine the importance of each attribute in rule object, a new rule extraction model based on decision dependency degree is proposed in this paper.
Compared with the previous models, this model does not generate matrix; instead, it finds conflict object set and duplicate object set by equivalence class, and consequently, improves the time performance to maxOCU, OC2U/C, and OREDU/C/RED2.
The theoretical analysis and experimental research show that the new model more accurately and effectively reduces the redundant data and extracts more concise decision rules from dataset.
American Psychological Association (APA)
Chen, Xinying& Li, Guanyu& Sun, Yunhao. 2019. Rule Extraction Model Based on Decision Dependency Degree. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1196242
Modern Language Association (MLA)
Chen, Xinying…[et al.]. Rule Extraction Model Based on Decision Dependency Degree. Mathematical Problems in Engineering No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1196242
American Medical Association (AMA)
Chen, Xinying& Li, Guanyu& Sun, Yunhao. Rule Extraction Model Based on Decision Dependency Degree. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1196242
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196242