Dear Afrooz Alimohamadi
Let us consider fuzzy set A, A = {(x, µA(x))| x Є X} where µA(x) is called the membership function for the fuzzy set A. X is referred to as the universe of discourse. The membership function associates each element x Є X with a value in the interval [0, 1].
Kind Regards
Qamar Ul Islam
Probably it's an error of the data set and you can simply select and delete that unwanted data from the raster.
Thank you for your attention to this matter. In my research, the study area is in perfect condition in terms of rainfall. After reclassification and giving a score of 4, how can I fuzzy this map?
Afrooz Alimohamadi,
It sounds like you're looking for the Fuzzy Membership tool in the Spatial Analyst Toolset. Here's ESRI's documentaion: https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/fuzzy-membership.htm
Best of luck.
Mike
@Afrooz Alimohamadi,
I think you are looking for this?
"Since these membership functions are specific to continuous input data, when you want to use categorical data for input to your Fuzzy Overlay analysis, you need to transform the data to the 0 to 1 possibility of membership scale using any number of Spatial Analyst tools. The two tools that are most useful for this process are Reclassify and Divide. The Reclassify tool allows you to transform your categorical data to a 0 to 10 scale (you cannot reclassify the data directly to the 0 to 1 scale with the tool), then divide the resulting transformed data by 10 to obtain the 0 to 1 scale."
Source: https://pro.arcgis.com/en/pro-app/2.9/tool-reference/spatial-analyst/how-fuzzy-membership-works.htm
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