4.7 Article

A novel method for generating a canonical basis for decision implications based on object-induced three-way operators

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Incremental method of generating decision implication canonical basis

Shaoxia Zhang et al.

Summary: Decision implication is a fundamental representation of decision knowledge in formal concept analysis, with Decision implication canonical basis (DICB) being the most compact and complete representation. The method based on true premises (MBTP) for DICB generation is currently the most efficient one, but lacks an update mechanism for dynamically changing data. An incremental algorithm for DICB generation is proposed in this paper, which is significantly superior to MBTP especially when samples in data are much more than condition attributes. The experimental results also suggest that the incremental algorithm is more efficient than MBTP even when new samples are continually added into data, due to its ability to modify existing DICB.

SOFT COMPUTING (2022)

Article Computer Science, Artificial Intelligence

Study on deduction process and inference methods of decision implications

Yanhui Zhai et al.

Summary: This article discusses the application and interchangeability of decision implication inference rules, and proposes three inference methods. One of the methods, applying augmentation once and then applying CON-COMBINATION at most inverted right perpendicularlog(2) minverted left perpendicular times, is proven to be the most efficient.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2022)

Article Computer Science, Artificial Intelligence

Incremental concept cognitive learning based on three-way partial order structure

Enliang Yan et al.

Summary: This paper discusses the application and experimental results of the incremental concept cognitive learning algorithm based on three-way object partial order structure diagram in dynamic concept learning, demonstrating its compliance with human cognitive principles and performance enhancement.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

NON-REDUNDANT IMPLICATIONAL BASE OF MANY-VALUED CONTEXT USING SAT

Taufiq Hidayat et al.

Summary: In the derived context of a many-valued context, some attribute implications can be inferred from other attribute implications and their scales. These scales represent the interpretation of values in the many-valued context, which are considered as existing knowledge. This paper reveals the redundancy issue in such attribute implications and proposes a model to tackle this problem.

COMPUTING AND INFORMATICS (2021)

Article Computer Science, Information Systems

A comparative study of decision implication, concept rule and granular rule

Shaoxia Zhang et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

Attribute implications in L-concept analysis with positive and negative attributes: Validity and properties of models

Jan Konecny

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2020)

Article Computer Science, Artificial Intelligence

Three-way conflict analysis: A unification of models based on rough sets and formal concept analysis

Guangming Lang et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Computer Science, Information Systems

On relationship between three-way concept lattices

Xuerong Zhao et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

Attribute reduction of SE-ISI concept lattices for incomplete contexts

Zhen Wang et al.

SOFT COMPUTING (2020)

Article Computer Science, Artificial Intelligence

Fuzzy decision implications: interpretation within fuzzy decision context

Jing Zhang et al.

CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2019)

Article Computer Science, Interdisciplinary Applications

Variable decision knowledge representation: A logical description

Yanhui Zhai et al.

JOURNAL OF COMPUTATIONAL SCIENCE (2018)

Article Computer Science, Artificial Intelligence

Fuzzy decision implication canonical basis

Yanhui Zhai et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2018)

Article Computer Science, Artificial Intelligence

Method for generating decision implication canonical basis based on true premises

Deyu Li et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2017)

Article Computer Science, Artificial Intelligence

Interval sets and three-way concept analysis in incomplete contexts

Yiyu Yao

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2017)

Article Computer Science, Artificial Intelligence

Parameterizing the Semantics of Fuzzy Attribute Implications by Systems of Isotone Galois Connections

Vilem Vychodil

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

The connections between three-way and classical concept lattices

Jianjun Qi et al.

KNOWLEDGE-BASED SYSTEMS (2016)

Article Computer Science, Information Systems

On minimal sets of graded attribute implications

Vilem Vychodil

INFORMATION SCIENCES (2015)

Article Computer Science, Hardware & Architecture

Decision implication canonical basis: a logical perspective

Yanhui Zhai et al.

JOURNAL OF COMPUTER AND SYSTEM SCIENCES (2015)

Article Computer Science, Artificial Intelligence

Decision implications: a logical point of view

Zhai Yanhui et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2014)

Article Computer Science, Artificial Intelligence

Fuzzy decision implications

Zhai Yanhui et al.

KNOWLEDGE-BASED SYSTEMS (2013)

Article Computer Science, Information Systems

Three-way decisions with probabilistic rough sets

Yiyu Yao

INFORMATION SCIENCES (2010)

Article Computer Science, Artificial Intelligence

Generating complete set of implications for formal contexts

Qu Kai-She et al.

KNOWLEDGE-BASED SYSTEMS (2008)

Article Computer Science, Artificial Intelligence

Attribute-incremental construction of the canonical implication basis

S. Obiedkov et al.

ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE (2007)

Article Computer Science, Theory & Methods

Study of decision implications based on formal concept analysis

Kaishe Qu et al.

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS (2007)