Results 21 to 30 of about 146,160 (266)

Stream Convolution for Attribute Reduction of Concept Lattices

open access: yesMathematics, 2023
Attribute reduction is a crucial research area within concept lattices. However, the existing works are mostly limited to either increment or decrement algorithms, rather than considering both.
Jianfeng Xu   +4 more
doaj   +1 more source

Attribute Reduction Method of Concept Lattice Based on Infimum Irreducibleness [PDF]

open access: yesJisuanji gongcheng, 2016
This paper researches on attribute reduction method of concept lattice.It proves that any attribute defective value of concept lattice is a discernible attribute set.It also proves that discernibility functions for attribute defective values set of ...
WU Jie,LIANG Yan,MA Yuan
doaj   +1 more source

Multi‐granularity decision rough set attribute reduction algorithm under quantum particle swarm optimization

open access: yesIET Cyber-systems and Robotics, 2022
The existing attribute reductions are carried out using equivalence relations under a complete information system, and there is less research on attribute reductions of incomplete information systems with new theoretical models such as multi‐granularity ...
Xuxu Yang, Xueen Wang, Jie Kang
doaj   +1 more source

Information Entropy-Based Attribute Reduction for Incomplete Set-Valued Data

open access: yesIEEE Access, 2022
This paper investigates attribute reduction for incomplete set-valued data based on information entropy. The similarity degree between information values on a conditional attribute of an incomplete set-valued decision information system (ISVDIS) is first
Yuanxia Zhang, Zuozan Chen
doaj   +1 more source

Interpretation and reduction of attribute grammars [PDF]

open access: yesActa Informatica, 1983
An attribute grammar (AG) is in reduced form if in all its derivation trees every attribute contributes to the translation. We prove that, eventhough AG are generally not in reduced form, they can be reduced, i.e., put into reduced form, without modifying their translations. This is shown first for noncircular AG and then for arbitrary AG.
openaire   +2 more sources

Local Indiscernibility Relation Reduction for Information Tables

open access: yesIEEE Access, 2022
Attribute reduction comes from machine learning and is an important component of rough set theory. Research on attribute reduction has produced many important achievements.
Xu Li, Jianguo Tang, Jiyong Tang
doaj   +1 more source

Impact of Local Congruences in Attribute Reduction [PDF]

open access: yesInformation Processing and Management of Uncertainty in Knowledge-Based Systems18th International Conference, 2020
Local congruences are equivalence relations whose equivalence classes are convex sublattices of the original lattice. In this paper, we present a study that relates local congruences to attribute reduction in FCA. Specifically, we will analyze the impact in the context of the use of local congruences, when they are used for complementing an attribute ...
Aragón R, Medina J, Ramírez-Poussa E.
europepmc   +4 more sources

Reduction of attributes in averaged similarities [PDF]

open access: yesInformation Sciences, 2018
Similarity Relations may be constructed from a set of fuzzy attributes. Each fuzzy attribute generates a simple similarity, and these simple similarities are combined into a complex similarity afterwards. The Representation Theorem establishes one such way of combining similarities, while averaging them is a different and more realistic approach in ...
Boixader Ibáñez, Dionís   +1 more
openaire   +4 more sources

A Parallel Attribute Reduction Method Based on Classification

open access: yesComplexity, 2021
Parallel processing as a method to improve computer performance has become a development trend. Based on rough set theory and divide-and-conquer idea of knowledge reduction, this paper proposes a classification method that supports parallel attribute ...
Deguang Li, Zhanyou Cui
doaj   +1 more source

Reduct-based ranking of attributes

open access: yesProcedia Computer Science, 2020
Abstract The paper is dedicated to the area of feature selection, in particular a notion of attribute rankings that allow to estimate importance of variables. In the research presented for ranking construction a new weighting factor was defined, based on relative reducts.
Beata Zielosko, Urszula Stanczyk
openaire   +3 more sources

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