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Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling

Shang-ming Zhou Orcid Logo, John Q. Gan

Fuzzy Sets and Systems, Volume: 159, Issue: 23, Pages: 3091 - 3131

Swansea University Author: Shang-ming Zhou Orcid Logo

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DOI (Published version): 10.1016/j.fss.2008.05.016

Published in: Fuzzy Sets and Systems
ISSN: 01650114
Published: 2008
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URI: https://cronfa.swan.ac.uk/Record/cronfa10068
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first_indexed 2013-07-23T12:02:44Z
last_indexed 2019-07-17T19:49:14Z
id cronfa10068
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spelling 2019-07-17T15:05:00.1355031 v2 10068 2012-03-21 Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling 118578a62021ba8ef61398da0a8750da 0000-0002-0719-9353 Shang-ming Zhou Shang-ming Zhou true false 2012-03-21 BMS Journal Article Fuzzy Sets and Systems 159 23 3091 3131 01650114 1 12 2008 2008-12-01 10.1016/j.fss.2008.05.016 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2019-07-17T15:05:00.1355031 2012-03-21T16:17:09.0000000 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Shang-ming Zhou 0000-0002-0719-9353 1 John Q. Gan 2
title Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
spellingShingle Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
Shang-ming Zhou
title_short Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
title_full Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
title_fullStr Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
title_full_unstemmed Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
title_sort Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
author_id_str_mv 118578a62021ba8ef61398da0a8750da
author_id_fullname_str_mv 118578a62021ba8ef61398da0a8750da_***_Shang-ming Zhou
author Shang-ming Zhou
author2 Shang-ming Zhou
John Q. Gan
format Journal article
container_title Fuzzy Sets and Systems
container_volume 159
container_issue 23
container_start_page 3091
publishDate 2008
institution Swansea University
issn 01650114
doi_str_mv 10.1016/j.fss.2008.05.016
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 0
active_str 0
published_date 2008-12-01T03:10:41Z
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score 11.012678

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