A fuzzy system for evaluating students’ learning achievement
The proper system for evaluating the learning achievement of students is the key to realizing the purpose of education. In recent years, several methods have been presented for applying the fuzzy set theory in the educational grading systems. In this paper, we propose a method for the evaluation of...
Gespeichert in:
Veröffentlicht in: | Expert systems with applications 2009-04, Vol.36 (3), p.6236-6243 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 6243 |
---|---|
container_issue | 3 |
container_start_page | 6236 |
container_title | Expert systems with applications |
container_volume | 36 |
creator | Saleh, Ibrahim Kim, Seong-in |
description | The proper system for evaluating the learning achievement of students is the key to realizing the purpose of education. In recent years, several methods have been presented for applying the fuzzy set theory in the educational grading systems. In this paper, we propose a method for the evaluation of students’ answerscripts using a fuzzy system. The proposed system applies fuzzification, fuzzy inference, and defuzzification in considering the difficulty, the importance and the complexity of questions. The transparency, objectivity, and easy implementation of the proposed fuzzy system provide a useful way to automatically evaluate students’ achievement in a more reasonable and fairer manner. |
doi_str_mv | 10.1016/j.eswa.2008.07.088 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_33205047</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0957417408004661</els_id><sourcerecordid>33205047</sourcerecordid><originalsourceid>FETCH-LOGICAL-c331t-f51422c3d3be38eed90aaab6b5221fb2dc96f2b88c14d2932d3d28d7cca818683</originalsourceid><addsrcrecordid>eNp9kMtKxDAUhoMoOI6-gKuu3LWeJG2TggjD4A0G3Og6pMmpZuhlTNqRmZWv4ev5JLaMa1cH_vN_B85HyCWFhALNr9cJhk-dMACZgEhAyiMyo1LwOBcFPyYzKDIRp1Skp-QshDUAFQBiRm4XUTXs97so7EKPTVR1PsKtrgfdu_YtCv1gse3Dz9d3VKP27RRq8-5wi824OCcnla4DXvzNOXm9v3tZPsar54en5WIVG85pH1cZTRkz3PISuUS0BWity7zMGKNVyawp8oqVUhqaWlZwZrll0gpjtKQyl3xOrg53N777GDD0qnHBYF3rFrshKM4ZZJCKscgOReO7EDxWauNdo_1OUVCTKrVWkyo1qVIg1KhqhG4OEI4vbB16FYzD1qB1Hk2vbOf-w38BIqp0Rw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>33205047</pqid></control><display><type>article</type><title>A fuzzy system for evaluating students’ learning achievement</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Saleh, Ibrahim ; Kim, Seong-in</creator><creatorcontrib>Saleh, Ibrahim ; Kim, Seong-in</creatorcontrib><description>The proper system for evaluating the learning achievement of students is the key to realizing the purpose of education. In recent years, several methods have been presented for applying the fuzzy set theory in the educational grading systems. In this paper, we propose a method for the evaluation of students’ answerscripts using a fuzzy system. The proposed system applies fuzzification, fuzzy inference, and defuzzification in considering the difficulty, the importance and the complexity of questions. The transparency, objectivity, and easy implementation of the proposed fuzzy system provide a useful way to automatically evaluate students’ achievement in a more reasonable and fairer manner.</description><identifier>ISSN: 0957-4174</identifier><identifier>EISSN: 1873-6793</identifier><identifier>DOI: 10.1016/j.eswa.2008.07.088</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Defuzzification ; Fuzzification ; Fuzzy inference ; Fuzzy rules ; Fuzzy system ; Student evaluation</subject><ispartof>Expert systems with applications, 2009-04, Vol.36 (3), p.6236-6243</ispartof><rights>2008 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-f51422c3d3be38eed90aaab6b5221fb2dc96f2b88c14d2932d3d28d7cca818683</citedby><cites>FETCH-LOGICAL-c331t-f51422c3d3be38eed90aaab6b5221fb2dc96f2b88c14d2932d3d28d7cca818683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.eswa.2008.07.088$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids></links><search><creatorcontrib>Saleh, Ibrahim</creatorcontrib><creatorcontrib>Kim, Seong-in</creatorcontrib><title>A fuzzy system for evaluating students’ learning achievement</title><title>Expert systems with applications</title><description>The proper system for evaluating the learning achievement of students is the key to realizing the purpose of education. In recent years, several methods have been presented for applying the fuzzy set theory in the educational grading systems. In this paper, we propose a method for the evaluation of students’ answerscripts using a fuzzy system. The proposed system applies fuzzification, fuzzy inference, and defuzzification in considering the difficulty, the importance and the complexity of questions. The transparency, objectivity, and easy implementation of the proposed fuzzy system provide a useful way to automatically evaluate students’ achievement in a more reasonable and fairer manner.</description><subject>Defuzzification</subject><subject>Fuzzification</subject><subject>Fuzzy inference</subject><subject>Fuzzy rules</subject><subject>Fuzzy system</subject><subject>Student evaluation</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKxDAUhoMoOI6-gKuu3LWeJG2TggjD4A0G3Og6pMmpZuhlTNqRmZWv4ev5JLaMa1cH_vN_B85HyCWFhALNr9cJhk-dMACZgEhAyiMyo1LwOBcFPyYzKDIRp1Skp-QshDUAFQBiRm4XUTXs97so7EKPTVR1PsKtrgfdu_YtCv1gse3Dz9d3VKP27RRq8-5wi824OCcnla4DXvzNOXm9v3tZPsar54en5WIVG85pH1cZTRkz3PISuUS0BWity7zMGKNVyawp8oqVUhqaWlZwZrll0gpjtKQyl3xOrg53N777GDD0qnHBYF3rFrshKM4ZZJCKscgOReO7EDxWauNdo_1OUVCTKrVWkyo1qVIg1KhqhG4OEI4vbB16FYzD1qB1Hk2vbOf-w38BIqp0Rw</recordid><startdate>20090401</startdate><enddate>20090401</enddate><creator>Saleh, Ibrahim</creator><creator>Kim, Seong-in</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20090401</creationdate><title>A fuzzy system for evaluating students’ learning achievement</title><author>Saleh, Ibrahim ; Kim, Seong-in</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-f51422c3d3be38eed90aaab6b5221fb2dc96f2b88c14d2932d3d28d7cca818683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Defuzzification</topic><topic>Fuzzification</topic><topic>Fuzzy inference</topic><topic>Fuzzy rules</topic><topic>Fuzzy system</topic><topic>Student evaluation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Saleh, Ibrahim</creatorcontrib><creatorcontrib>Kim, Seong-in</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saleh, Ibrahim</au><au>Kim, Seong-in</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A fuzzy system for evaluating students’ learning achievement</atitle><jtitle>Expert systems with applications</jtitle><date>2009-04-01</date><risdate>2009</risdate><volume>36</volume><issue>3</issue><spage>6236</spage><epage>6243</epage><pages>6236-6243</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>The proper system for evaluating the learning achievement of students is the key to realizing the purpose of education. In recent years, several methods have been presented for applying the fuzzy set theory in the educational grading systems. In this paper, we propose a method for the evaluation of students’ answerscripts using a fuzzy system. The proposed system applies fuzzification, fuzzy inference, and defuzzification in considering the difficulty, the importance and the complexity of questions. The transparency, objectivity, and easy implementation of the proposed fuzzy system provide a useful way to automatically evaluate students’ achievement in a more reasonable and fairer manner.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2008.07.088</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0957-4174 |
ispartof | Expert systems with applications, 2009-04, Vol.36 (3), p.6236-6243 |
issn | 0957-4174 1873-6793 |
language | eng |
recordid | cdi_proquest_miscellaneous_33205047 |
source | ScienceDirect Journals (5 years ago - present) |
subjects | Defuzzification Fuzzification Fuzzy inference Fuzzy rules Fuzzy system Student evaluation |
title | A fuzzy system for evaluating students’ learning achievement |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T13%3A56%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20fuzzy%20system%20for%20evaluating%20students%E2%80%99%20learning%20achievement&rft.jtitle=Expert%20systems%20with%20applications&rft.au=Saleh,%20Ibrahim&rft.date=2009-04-01&rft.volume=36&rft.issue=3&rft.spage=6236&rft.epage=6243&rft.pages=6236-6243&rft.issn=0957-4174&rft.eissn=1873-6793&rft_id=info:doi/10.1016/j.eswa.2008.07.088&rft_dat=%3Cproquest_cross%3E33205047%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=33205047&rft_id=info:pmid/&rft_els_id=S0957417408004661&rfr_iscdi=true |