Minimum distance classification using fuzzy method

I have a single line matrix U =

-24.5167   -4.3898   44.8440  -17.3998   10.0035   44.4521  -47.8725   -5.1206

I apply dist(U) from neural network toolbox to get the minimum distance classification matrix 'out' out=dist(U).Then i get

I had a PCA score plot and these are the distances of the respective points from each other.

I want to attempt the same minimum distance classification using alternative method(fuzzy). My question is that how can we use fuzzy membership to find distance. I want to plot a fuzzy graph showing high membership towards points that are close to each other and low membership towards points away from each other. plz help..