Hello Esri Community, ,
I’m a GIS researcher from Ethiopia working on malaria risk modeling using spatial fuzzy logic. While reviewing literature, I noticed a contradiction: many studies apply weighting to factors in fuzzy overlay analysis, yet Esri’s documentation emphasizes that traditional fuzzy logic relies on set theory (not weights).
My Questions:
Is weighting factors in fuzzy overlay technically valid? Or does it conflict with fuzzy logic principles?
If weighting isn’t recommended, why is it so prevalent in research (e.g., for disease risk or site suitability)? Are there hybrid approaches?
What’s Esri’s best practice for combining fuzzy logic with factor prioritization (e.g., for malaria modeling)?
I’m torn between following the majority (weighting) or adhering to strict fuzzy set theory. Your insights will help me—and others—avoid methodological pitfalls.
Background: I recently completed a weighted overlay thesis on solar site selection and now explore fuzzy logic’s potential in health GIS.
Thank you!
Degu Demise Abdisa
