Uncertainty Measurement for a Hybrid Information System With Images: An Application in Attribute Reduction

A hybrid information system with images (HISI) is an information system (IS) where there exist many kinds of data or attributes (e.g., boolean, categorical, real-valued, set-valued, interval-valued, imaged, decision and missing data or attributes). Uncertainty measurement (UM) is an effective tool f...

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Main Authors: Sichun Wang, Yini Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9207883/
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spelling doaj-c606e6e1908f40fa804a1d3966ae5dde2021-03-30T03:19:40ZengIEEEIEEE Access2169-35362020-01-01818049118050910.1109/ACCESS.2020.30272959207883Uncertainty Measurement for a Hybrid Information System With Images: An Application in Attribute ReductionSichun Wang0https://orcid.org/0000-0002-7931-025XYini Wang1Guangxi Key Laboratory of Cross-Border E-Commerce Intelligent Information Processing, Guangxi University of Finance and Economics, Nanning, ChinaGuangxi Key Laboratory of Cross-Border E-Commerce Intelligent Information Processing, Guangxi University of Finance and Economics, Nanning, ChinaA hybrid information system with images (HISI) is an information system (IS) where there exist many kinds of data or attributes (e.g., boolean, categorical, real-valued, set-valued, interval-valued, imaged, decision and missing data or attributes). Uncertainty measurement (UM) is an effective tool for evaluation. This article inquires into UM for a HISI with application to attribute reduction. The distance between attribute values in a HISI is first constructed. Then, the tolerance relations on an object set of a HISI are obtained by means of this distance. Next, information structures in a HISI are proposed. After that, UM for a HISI is considered by using its information structures. Moreover, effectiveness analysis for the proposed measures is conducted from the angle of statistics. Finally, an application of the proposed measures in attribute reduction for a HISI is given, and the corresponding algorithms are put forward.https://ieeexplore.ieee.org/document/9207883/HISIdistanceinformation structuredependenceuncertaintymeasurement
collection DOAJ
language English
format Article
sources DOAJ
author Sichun Wang
Yini Wang
spellingShingle Sichun Wang
Yini Wang
Uncertainty Measurement for a Hybrid Information System With Images: An Application in Attribute Reduction
IEEE Access
HISI
distance
information structure
dependence
uncertainty
measurement
author_facet Sichun Wang
Yini Wang
author_sort Sichun Wang
title Uncertainty Measurement for a Hybrid Information System With Images: An Application in Attribute Reduction
title_short Uncertainty Measurement for a Hybrid Information System With Images: An Application in Attribute Reduction
title_full Uncertainty Measurement for a Hybrid Information System With Images: An Application in Attribute Reduction
title_fullStr Uncertainty Measurement for a Hybrid Information System With Images: An Application in Attribute Reduction
title_full_unstemmed Uncertainty Measurement for a Hybrid Information System With Images: An Application in Attribute Reduction
title_sort uncertainty measurement for a hybrid information system with images: an application in attribute reduction
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description A hybrid information system with images (HISI) is an information system (IS) where there exist many kinds of data or attributes (e.g., boolean, categorical, real-valued, set-valued, interval-valued, imaged, decision and missing data or attributes). Uncertainty measurement (UM) is an effective tool for evaluation. This article inquires into UM for a HISI with application to attribute reduction. The distance between attribute values in a HISI is first constructed. Then, the tolerance relations on an object set of a HISI are obtained by means of this distance. Next, information structures in a HISI are proposed. After that, UM for a HISI is considered by using its information structures. Moreover, effectiveness analysis for the proposed measures is conducted from the angle of statistics. Finally, an application of the proposed measures in attribute reduction for a HISI is given, and the corresponding algorithms are put forward.
topic HISI
distance
information structure
dependence
uncertainty
measurement
url https://ieeexplore.ieee.org/document/9207883/
work_keys_str_mv AT sichunwang uncertaintymeasurementforahybridinformationsystemwithimagesanapplicationinattributereduction
AT yiniwang uncertaintymeasurementforahybridinformationsystemwithimagesanapplicationinattributereduction
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