Please use this identifier to cite or link to this item: http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/792
Title: Multiple Regression of Fuzzy-Valued Variable
Authors: Sarkar, Srabani
Pal, Madhumangal
Keywords: Fuzzy set
Regression equation
Mean
Standard deviation
Issue Date: 2009
Publisher: Vidyasagar University , Midnapore , West-Bengal , India
Series/Report no.: Journal of Physical Science;Vol 13 [2009]
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
Description: 57-66
URI: http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/792
ISSN: 0972-8791 (Print)
Appears in Collections:Journal of Physical Sciences Vol.13 [2009]
Publication ( Madhumangal Pal )

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