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Weight Objective
Fuzzy ENTROPY - book TFN-component implementation profile
lower/modal/upper TFN-component weighting implementation
2026
Overview
Use only as a reproducible component-scenario profile for ENTROPY. Supply true TFNs. Do not cite it as the canonical fuzzy ENTROPY method.
- Data
- Fuzzy (TFN)
- Weights
- Derived internally, no weight source needed
Edge cases and pitfalls
Uniform proportional fuzzification often produces identical L/M/U weights for normalized objective methods.
Canonical-method note: Native fuzzy entropy formulations differ in normalization and fuzzy arithmetic.
How to cite
(2026). analyse_asisance explicit TFN component extension. source-code artifact.
System ID, as it appears in reports and the API
FUZZY-ENTROPY