I am interested to normalize Landcover raster image having 6 classess using fuzzy membership function (sigmoidal monotonically increasing) in Weighed Linear Combination (WLC) in the backdrop of MCE approach.
The aim is to produce Landslilde susceptibility map. The weights will be derived using pairwise comparison of the attributes to get their relative importance over one another.
Normalization/standardization of input criterian maps is a prerequisite in WLC. I have already ranked my classes from 1-6. Let me know how could I assign inflection points to my landcover classes on 0-255 normalization scale to produce my fuzzy-landcover map?