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 |