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Weight Objective
Fuzzy IDOCRIW - book TFN-component implementation profile
lower/modal/upper TFN-component weighting implementation
2026
Overview
Use only as a reproducible component-scenario profile for IDOCRIW. Supply true TFNs. Do not cite it as the canonical fuzzy IDOCRIW method.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: Podvezko, Zavadskas & Podviezko (2020), DOI 10.24818/18423264/54.2.20.04
How to cite
(2026). analyse_asisance explicit TFN component extension. source-code artifact.
System ID, as it appears in reports and the API
FUZZY-IDOCRIW