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- Publisher Website: 10.1109/ICEE.2010.369
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Conference Paper: Study on analyzing questionnaire survey by Monte Carlo Simulation
Title | Study on analyzing questionnaire survey by Monte Carlo Simulation |
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Authors | |
Keywords | Fuzzy set theory Monte Carlo Simulation (MCS) Questionnaire survey Ranking by mean |
Issue Date | 2010 |
Publisher | IEEE 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? |
Abstract | Traditional 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 Identifier | http://hdl.handle.net/10722/205850 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Jiang, S | - |
dc.contributor.author | Peng, Y | - |
dc.contributor.author | Lu, W | - |
dc.contributor.author | Shen, L | - |
dc.date.accessioned | 2014-10-15T06:02:57Z | - |
dc.date.available | 2014-10-15T06:02:57Z | - |
dc.date.issued | 2010 | - |
dc.identifier.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 | - |
dc.identifier.isbn | 978-0-7695-3997-3 | - |
dc.identifier.uri | http://hdl.handle.net/10722/205850 | - |
dc.description.abstract | Traditional 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.language | eng | - |
dc.publisher | IEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1800142 | - |
dc.relation.ispartof | International 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.subject | Fuzzy set theory | - |
dc.subject | Monte Carlo Simulation (MCS) | - |
dc.subject | Questionnaire survey | - |
dc.subject | Ranking by mean | - |
dc.title | Study on analyzing questionnaire survey by Monte Carlo Simulation | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Lu, W: wilsonlu@hku.hk | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/ICEE.2010.369 | - |
dc.identifier.scopus | eid_2-s2.0-78649657341 | - |
dc.identifier.hkuros | 241307 | - |
dc.identifier.spage | 1452 | - |
dc.identifier.epage | 1455 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 141015 | - |