Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model by Samsul Ariffin Abdul Karim & Nur Fatonah Kamsani

Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model by Samsul Ariffin Abdul Karim & Nur Fatonah Kamsani

Author:Samsul Ariffin Abdul Karim & Nur Fatonah Kamsani
Language: eng
Format: epub
ISBN: 9789811534850
Publisher: Springer Singapore


where is the mean of fuzzy data .

The above expression can be represented by the following expression: where, and are the mean of left fuzzy width and mean of right fuzzy width, respectively.

Likewise, the fuzzy correlation coefficient (HR) is the root of (HR)2, which can evaluate the strength of the linear relationship between predictor variables and response variables. Next, is the deviation between actual value and the estimated value . It is defined as follows,

There are three types that were computed which are Sum Square Regression (SSR), Sum Square Errors (SSE) and Total of Sum Square Error (SST). The equation of SSR, SSE and SST are defined as follows:



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