Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/76812
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dc.contributor應數系-
dc.creatorHo, S.-M.;Wu, Berlin-
dc.creator吳柏林-
dc.date2005-
dc.date.accessioned2015-07-21T09:23:35Z-
dc.date.available2015-07-21T09:23:35Z-
dc.date.issued2015-07-21T09:23:35Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/76812-
dc.description.abstractMaking the most of the industrial network to reduce management costs and increase competitiveness has gained a lot of attention among enterprises lately. In traditional market research methods, the approach always puts its emphasis on the data of a single value without considering the complexity of human thoughts. Thus, it is the purpose of this paper to first define fuzzy mode, fuzzy expect value and fuzzy χ2 test. Then, a new market survey is proposed to develop a more efficient survey analysis to examine the characteristics of fuzzy questionnaire and sample material, A comparison between fuzzy χ2 test and traditional χ2 test will be carried on at the end. © 2005 IEEE.-
dc.format.extent176 bytes-
dc.format.mimetypetext/html-
dc.relationProceedings - Fourth Annual ACIS International Conference on Computer and Information Science, ICIS 2005, Volume 2005, 論文編號 1515394, Pages 158-163-
dc.subjectCompetition; Computational complexity; Fuzzy control; Marketing; Statistical methods; Fuzzy questionnaire; Industrial network; Management costs; Market survey; Industrial management-
dc.titleOn the benefits of industrial network: A new approach with market survey and fuzzy statistical analysis-
dc.typeconferenceen
dc.identifier.doi10.1109/ICIS.2005.95-
dc.doi.urihttp://dx.doi.org/10.1109/ICIS.2005.95-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairetypeconference-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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