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https://ir.vidyasagar.ac.in/jspui/handle/123456789/792Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sarkar, Srabani | |
| dc.contributor.author | Pal, Madhumangal | |
| dc.date.accessioned | 2016-12-22T17:16:01Z | - |
| dc.date.available | 2016-12-22T17:16:01Z | - |
| dc.date.issued | 2009 | |
| dc.identifier.issn | 0972-8791 (Print) | |
| dc.identifier.uri | http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/792 | - |
| dc.description | 57-66 | en_US |
| dc.description.abstract | In fuzzy domain, a variable (vague linguistic term) often depends not only on a single variable but on more then one variables. In such a situation multiple regression analysis is more appropriate than simple regression analysis involving one independent variable. This paper introduces fuzzy multiple regression equations of fuzzy sets those are treated as a variable with certain values assigned to them. The error analysis is done by using standard least square technique | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Vidyasagar University , Midnapore , West-Bengal , India | en_US |
| dc.relation.ispartofseries | Journal of Physical Science;Vol 13 [2009] | |
| dc.subject | Fuzzy set | en_US |
| dc.subject | Regression equation | en_US |
| dc.subject | Mean | en_US |
| dc.subject | Standard deviation | en_US |
| dc.title | Multiple Regression of Fuzzy-Valued Variable | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Journal of Physical Sciences Vol.13 [2009] Publication ( Madhumangal Pal ) | |
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