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Conference Paper: Study on analyzing questionnaire survey by Monte Carlo Simulation

TitleStudy on analyzing questionnaire survey by Monte Carlo Simulation
Authors
Jiang, SPeng, YLu, WShen, L
KeywordsFuzzy set theory
Monte Carlo Simulation (MCS)
Questionnaire survey
Ranking by mean
Issue Date2010
PublisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800142
Citation
The 1st International Conference on E-Business and E-Government (ICEE 2010), Guangzhou, China, 7-9 May 2010. In Conference Proceedings, 2010, p. 1452-1455 How to Cite?
DOI: http://dx.doi.org/10.1109/ICEE.2010.369
AbstractTraditional questionnaire usually takes likert scale and treats the data as discrete and controllable. It overlooks the different opinions chosen in the same scale, moreover does not consider the possibility distribution trend. Monte Carlo Simulation (MCS) is used to explore into the possible trend based on the distribution from the questionnaire. The difference of the results based on original questionnaire and MCS show the trying is beneficial and interesting. However, for this method, the questionnaire survey should be scientifically random. Moreover, foundational research should be conducted to test the validity. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/205850
ISBN
978-0-7695-3997-3

 

DC FieldValueLanguage
dc.contributor.authorJiang, S-
dc.contributor.authorPeng, Y-
dc.contributor.authorLu, W-
dc.contributor.authorShen, L-
dc.date.accessioned2014-10-15T06:02:57Z-
dc.date.available2014-10-15T06:02:57Z-
dc.date.issued2010-
dc.identifier.citationThe 1st International Conference on E-Business and E-Government (ICEE 2010), Guangzhou, China, 7-9 May 2010. In Conference Proceedings, 2010, p. 1452-1455-
dc.identifier.isbn978-0-7695-3997-3-
dc.identifier.urihttp://hdl.handle.net/10722/205850-
dc.description.abstractTraditional questionnaire usually takes likert scale and treats the data as discrete and controllable. It overlooks the different opinions chosen in the same scale, moreover does not consider the possibility distribution trend. Monte Carlo Simulation (MCS) is used to explore into the possible trend based on the distribution from the questionnaire. The difference of the results based on original questionnaire and MCS show the trying is beneficial and interesting. However, for this method, the questionnaire survey should be scientifically random. Moreover, foundational research should be conducted to test the validity. © 2010 IEEE.-
dc.languageeng-
dc.publisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800142-
dc.relation.ispartofInternational Conference on E-Business and E-Government (ICEE) Proceedings-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectFuzzy set theory-
dc.subjectMonte Carlo Simulation (MCS)-
dc.subjectQuestionnaire survey-
dc.subjectRanking by mean-
dc.titleStudy on analyzing questionnaire survey by Monte Carlo Simulationen_US
dc.typeConference_Paperen_US
dc.identifier.emailLu, W: wilsonlu@hku.hk-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICEE.2010.369-
dc.identifier.scopuseid_2-s2.0-78649657341-
dc.identifier.hkuros241307-
dc.identifier.spage1452-
dc.identifier.epage1455-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 141015-

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