No Cover Image

Journal article 917 views

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

Full text not available from this repository: check for access using links below.

Check full text

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

Published in: Fuzzy Sets and Systems
ISSN: 01650114
Published: 2008
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa10068
first_indexed 2013-07-23T12:02:44Z
last_indexed 2019-07-17T19:49:14Z
id cronfa10068
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2019-07-17T15:05:00.1355031</datestamp><bib-version>v2</bib-version><id>10068</id><entry>2012-03-21</entry><title>Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling</title><swanseaauthors><author><sid>118578a62021ba8ef61398da0a8750da</sid><ORCID>0000-0002-0719-9353</ORCID><firstname>Shang-ming</firstname><surname>Zhou</surname><name>Shang-ming Zhou</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2012-03-21</date><deptcode>MEDS</deptcode><abstract></abstract><type>Journal Article</type><journal>Fuzzy Sets and Systems</journal><volume>159</volume><journalNumber>23</journalNumber><paginationStart>3091</paginationStart><paginationEnd>3131</paginationEnd><publisher/><issnPrint>01650114</issnPrint><keywords/><publishedDay>1</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2008</publishedYear><publishedDate>2008-12-01</publishedDate><doi>10.1016/j.fss.2008.05.016</doi><url/><notes></notes><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2019-07-17T15:05:00.1355031</lastEdited><Created>2012-03-21T16:17:09.0000000</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Shang-ming</firstname><surname>Zhou</surname><orcid>0000-0002-0719-9353</orcid><order>1</order></author><author><firstname>John Q.</firstname><surname>Gan</surname><order>2</order></author></authors><documents/><OutputDurs/></rfc1807>
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 MEDS 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 Medical School COLLEGE CODE MEDS 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 2008-12-01T18:18:25Z
_version_ 1821339922419679232
score 11.1586075

Similar Items