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| Field |
Value |
| Title: | New statistical analysis on the marketing research and efficiency evaluation with fuzzy data |
| Authors: | 吳柏林
Wu, Ber-Lin |
| Contributors: | 應數系 |
| Keywords: | Fuzzy sets；Efficiency evaluation；Time management；Index of efficiency |
| Date: | 2014-07 |
| Issue Date: | 2014-11-14 10:26:18 (UTC+8) |
| Abstract: | Purpose–The purpose of this paper is to use soft computing technique and fuzzy statistical tool to evaluate people's performance on the marketing research and time management. ；Design/methodology/approach–Through standardized measurement system, the authors come up with real-value data to satisfy not the current needs but data itself. This is when fuzzy classification stands out and highlights the area of in-between and undefined. ；Findings–The proposed metric system helps the authors to assess the distance among trapezoidal fuzzy data. The index of efficiency between observed time and ideal time is also presented. ；Originality/value–With the ranking of fuzzy sample, the authors can examine the decision process by non-parametric testing hypothesis. |
| Relation: | Management Decision, 52(7), 1330-1342 |
| Data Type: | article |
| DOI: | http://dx.doi.org/10.1108/MD-11-2012-0784 |
| DCField |
Value |
Language |
| dc.contributor (Contributor) | 應數系 | en_US |
| dc.creator (Authors) | 吳柏林 | zh_TW |
| dc.creator (Authors) | Wu, Ber-Lin | en_US |
| dc.date (Date) | 2014-07 | en_US |
| dc.date.accessioned | 2014-11-14 10:26:18 (UTC+8) | - |
| dc.date.available | 2014-11-14 10:26:18 (UTC+8) | - |
| dc.date.issued (Issue Date) | 2014-11-14 10:26:18 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/71444 | - |
| dc.description.abstract (Abstract) | Purpose–The purpose of this paper is to use soft computing technique and fuzzy statistical tool to evaluate people's performance on the marketing research and time management. ；Design/methodology/approach–Through standardized measurement system, the authors come up with real-value data to satisfy not the current needs but data itself. This is when fuzzy classification stands out and highlights the area of in-between and undefined. ；Findings–The proposed metric system helps the authors to assess the distance among trapezoidal fuzzy data. The index of efficiency between observed time and ideal time is also presented. ；Originality/value–With the ranking of fuzzy sample, the authors can examine the decision process by non-parametric testing hypothesis. | en_US |
| dc.format.extent | 258587 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (Relation) | Management Decision, 52(7), 1330-1342 | en_US |
| dc.subject (Keywords) | Fuzzy sets；Efficiency evaluation；Time management；Index of efficiency | en_US |
| dc.title (Title) | New statistical analysis on the marketing research and efficiency evaluation with fuzzy data | en_US |
| dc.type (Data Type) | article | en |
| dc.identifier.doi (DOI) | 10.1108/MD-11-2012-0784 | - |
| dc.doi.uri | http://dx.doi.org/10.1108/MD-11-2012-0784 | - |
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