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- research-articleApril 2024
Mining positive and negative rules via one-sided fuzzy three-way concept lattices
AbstractMining association rules are a major area of research in data mining, as there are typically a large number of rules in each data set. And extracting necessary rules from each data set requires efficiency and careful consideration. In this paper, ...
- research-articleMarch 2023
Rule acquisition in generalized multi-scale information systems with multi-scale decisions
International Journal of Approximate Reasoning (IJAR), Volume 154, Issue CMar 2023, Pages 56–71https://doi.org/10.1016/j.ijar.2022.12.004AbstractIn this paper, knowledge acquisition in the sense of deriving IF-THEN rules in multi-scale information systems with multi-scale decision attributes is investigated. Specifically, the concept of a generalized multi-scale information ...
- research-articleNovember 2022
Rule reductions of decision formal context based on mixed information
Applied Intelligence (KLU-APIN), Volume 53, Issue 12Jun 2023, Pages 15459–15475https://doi.org/10.1007/s10489-022-04194-9AbstractFormal concept analysis is an effective tool in knowledge discovery. Nonetheless, it ignores the negative information, especially in rule extraction. And some applications require to mix positive and negative information for management and ...
- ArticleNovember 2022
Rule Acquisition in Generalized One-Sided Decision Systems
AbstractAs a major direction of data mining, rule acquisition has been applied and researched widely. However, there are few studies on association rules determined by ordered attributes. In this paper, we propose methods of mining decision rules based on ...
- research-articleOctober 2022
A novel approach to attribute reduction and rule acquisition of formal decision context
Applied Intelligence (KLU-APIN), Volume 53, Issue 11Jun 2023, Pages 13834–13851https://doi.org/10.1007/s10489-022-04139-2AbstractRule acquisition and attribute reduction are important research topics in formal concept analysis. Many existing rule-based attribute reduction algorithms are designed to computing all reductions by using discernibility functions and therefore ...
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- research-articleSeptember 2022
A new mechanism of rule acquisition based on covering rough sets
Applied Intelligence (KLU-APIN), Volume 52, Issue 11Sep 2022, Pages 12369–12381https://doi.org/10.1007/s10489-021-03067-xAbstractRule acquisition, known as knowledge acquisition, is an important and topical issue in granular computing theory. Granules are not only composed of objects but also have feature values. However, In the granule associativity rules, the traditional ...
- research-articleApril 2022
Rule extraction from scientific texts: Evaluation in the specialty of gynecology
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 34, Issue 4Apr 2022, Pages 1150–1160https://doi.org/10.1016/j.jksuci.2020.05.008AbstractDue to the considerable increase in freely available data (especially on the Web), extracting relevant information from textual content is a critical challenge. Most of the available data is embedded in unstructured texts and is not ...
- ArticleOctober 2020
Attribute Reduction and Rule Acquisition of Formal Decision Context Based on Dual Concept Lattice
Learning Technologies and SystemsOct 2020, Pages 117–129https://doi.org/10.1007/978-3-030-66906-5_11AbstractConcept lattice theory is a powerful tool for analyzing and extracting information from data sets. Rule acquisition and attribute reduction are hot research topics in formal concept analysis. This paper mainly proposes three kinds of rules based ...
- research-articleApril 2020
On rule acquisition methods for data classification in heterogeneous incomplete decision systems
Knowledge-Based Systems (KNBS), Volume 193, Issue CApr 2020https://doi.org/10.1016/j.knosys.2020.105472AbstractIn the age of big data, lots of data obtained is low-quality data characterized by heterogeneousness and incompleteness, referred to as heterogeneous incomplete decision systems (HIDSs) in this paper. Data classification is an ...
- research-articleDecember 2019
Generalized multi-scale decision tables with multi-scale decision attributes
International Journal of Approximate Reasoning (IJAR), Volume 115, Issue CDec 2019, Pages 194–208https://doi.org/10.1016/j.ijar.2019.09.010AbstractIn many practical problems, games between conditions (costs) and decisions (goals) at different scales have often been encountered. Obtaining acceptable decisions under weaker conditions is one of the main tasks in the field of data ...
- research-articleJune 2018
Rule acquisition and optimal scale selection in multi-scale formal decision contexts and their applications to smart city
Future Generation Computer Systems (FGCS), Volume 83, Issue CJune 2018, Pages 564–581https://doi.org/10.1016/j.future.2017.03.011In order to enrich the existing rule acquisition theory in formal decision contexts, this study puts forward three new types of rules: decision association rules, non-redundant decision association rules and simplest decision association rules. Then, we ...
- research-articleJanuary 2016
A comparative study of multigranulation rough sets and concept lattices via rule acquisition
Knowledge-Based Systems (KNBS), Volume 91, Issue CJanuary 2016, Pages 152–164https://doi.org/10.1016/j.knosys.2015.07.024Transforming decision systems into formal decision contexts is studied.Relationship between "AND" decision rules and granular rules is discussed.Relationship between "OR" decision rules and disjunctive rules is investigated.Support and certainty factors ...
- articleNovember 2014
Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems
International Journal of Approximate Reasoning (IJAR), Volume 55, Issue 8November, 2014, Pages 1787–1804https://doi.org/10.1016/j.ijar.2014.05.007Rule acquisition is one of the most important objectives in the analysis of decision systems. Because of the interference of errors, a real-world decision system is generally inconsistent, which can lead to the consequence that some rules extracted from ...
- research-articleSeptember 2013
Multi-confidence rule acquisition oriented attribute reduction of covering decision systems via combinatorial optimization
Knowledge-Based Systems (KNBS), Volume 50, Issue CSeptember 2013, Pages 187–197Rule acquisition is one of the most concerned issues in the study of decision systems including covering decision systems. Usually, a covering decision system is inconsistent, which can lead to the result that some of the rules derived from the system ...
- articleJanuary 2013
Incomplete decision contexts: Approximate concept construction, rule acquisition and knowledge reduction
International Journal of Approximate Reasoning (IJAR), Volume 54, Issue 1January, 2013, Pages 149–165https://doi.org/10.1016/j.ijar.2012.07.005Incomplete decision contexts are a kind of decision formal contexts in which information about the relationship between some objects and attributes is not available or is lost. Knowledge discovery in incomplete decision contexts is of interest because ...
- research-articleJune 2012
Using Rule Ontology in Repeated Rule Acquisition from Similar Web Sites
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 24, Issue 6June 2012, Pages 1106–1119https://doi.org/10.1109/TKDE.2011.72Inferential rules are as essential to the Semantic Web applications as ontology. Therefore, rule acquisition is also an important issue, and the Web that implies inferential rules can be a major source of rule acquisition. We expect that it will be ...
- articleApril 2012
Knowledge reduction in real decision formal contexts
Information Sciences: an International Journal (ISCI), Volume 189April, 2012, Pages 191–207https://doi.org/10.1016/j.ins.2011.11.041Rule acquisition is one of the main purposes in the analysis of real decision formal contexts. In general, the decision rules derived directly from a real decision formal context are not concise or compact. In order to derive more compact decision rules,...
- articleJuly 2011
Knowledge reduction in decision formal contexts
Knowledge-Based Systems (KNBS), Volume 24, Issue 5July, 2011, Pages 709–715https://doi.org/10.1016/j.knosys.2011.02.011This study deals with the problem of knowledge reduction in decision formal contexts. From the perspective of rule acquisition, a new framework of knowledge reduction for decision formal contexts is formulated and a corresponding reduction method is ...
- articleJuly 2007
Rule identification using ontology while acquiring rules from Web pages
International Journal of Human-Computer Studies (IJHC), Volume 65, Issue 7July, 2007, Pages 659–673https://doi.org/10.1016/j.ijhcs.2007.02.004As research on the Semantic Web actively progresses, a more intelligent Web environment is expected in various domains including rule-based systems and intelligent agents. However, rule acquisition is still a bottleneck in the utilization of rule-based ...
- articleNovember 2005
Rule identification from Web pages by the XRML approach
Decision Support Systems (DSSY), Volume 41, Issue 1November 2005, Pages 205–227https://doi.org/10.1016/j.dss.2005.01.004In the world of Web pages, there are oceans of documents in natural language texts and tables. To extract rules from Web pages and maintain consistency between them, we have developed the framework of XRML (eXtensible Rule Markup Language). XRML allows ...