| dc.contributor.author | Pirzada, U. M. | |
| dc.contributor.author | Sharma, Jaita | |
| dc.date.accessioned | 2017-09-12T12:20:58Z | |
| dc.date.available | 2017-09-12T12:20:58Z | |
| dc.date.issued | 2015 | |
| dc.identifier.issn | 1841-4311 | |
| dc.identifier.uri | http://27.109.7.66:8080/xmlui/handle/123456789/457 | |
| dc.description | AMO - Advanced Modeling and Optimization, Volume 17, Number 1, 2015 | en_US |
| dc.description.abstract | This paper deals with the linear fuzzy regression model with fuzzy data and crisp non-negative parameters. To find the best values of the param- eters of the fuzzy model, we minimize the sum of squared errors of lower and upper level functions of fuzzy error function. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Fuzzy numbers | en_US |
| dc.subject | Regression analysis | en_US |
| dc.subject | Least square approach | en_US |
| dc.title | Linear fuzzy regression model | en_US |
| dc.type | Article | en_US |