Hi! I study fuzzy regression. Linear Programming(LP) methods are commonly used for fuzzy linear regression (FLR) because they are simple and easy to apply. I should make a simulation study with R and have come a distance. I use "linp" (for instence a part from my codes) "(L<-linp(E=NULL,F=NULL,Cost=obj,G=sınır,H=sol,ispos=FALSE))" there is "ispose" argument which allows all the variables(x) to get negative values when its false. my problem is there. I want to allow some of the variables(x)to get negative values and the others must be nonnegative.(for instence x1,x2,x3 could be negative or positive and x4,x5,x6 must be nonnegative.) Is there anything to solve that problem? thanks for any help. Bekir.
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