Fuzzy WSM
Method object
- class pyfdm.methods.f_wsm.fWSM(normalization=None, defuzzify=<function mean_defuzzification>)[source]
Bases:
object
- __call__(matrix, weights, *args, **kwargs)[source]
Calculates the alternatives preferences
- Parameters:
matrix (ndarray) – Decision matrix / alternatives data. Alternatives are in rows and Criteria are in columns.
weights (ndarray) – Vector of criteria weights in a crisp form
- Returns:
Preference calculated for alternatives. Lower values are placed higher in ranking
- Return type:
ndarray
Fuzzy calculations
- pyfdm.methods.wsm.fuzzy.fuzzy(matrix, weights, normalization, defuzzify)[source]
Calculates the alternatives preferences based on Triangular Fuzzy Number extension
- Parameters:
matrix (ndarray) – Decision matrix / alternatives data. Alternatives are in rows and Criteria are in columns.
weights (ndarray) – Vector of criteria weights in a crisp form
normalization (callable) – Function used to normalize the decision matrix
- Returns:
Crisp preferences of alternatives
- Return type:
ndarray