Intuitionistic Fuzzy Entropy Weight Method (Vlachos-Sergiadis 2007 entropy measure as applied by Hung-Chen 2010)

IF-ENTROPY is an OBJECTIVE weighting method (Family = Weight_Objective): the criterion weights are derived from the information content of the decision matrix itself, not elicited from the DM. Use IF-ENTROPY when the DM cannot or does not wish to provide subjective criterion preferences. The output is a crisp weight vector on the n-simplex, which can then feed any IF ranking method (IF-TOPSIS, IF-MAUT, IF-VIKOR, etc.). The IF entropy formula (Vlachos-Sergiadis 2007) is symmetric under criterion-direction complement, so cost vs benefit criteria do not need pre-processing. Multi-DM aggregation v