) by dividing each individual crisp weight by the total sum of all crisp weights: =Individual_Crisp_Weight / SUM(All_Crisp_Weights) Best Practices for Building Your Excel Template
Do you need assistance writing the for the geometric mean calculations?
, your Excel matrix will be three times larger than a standard AHP matrix. fuzzy ahp excel template
Uses linguistic variables (e.g., "Equally Important," "Strongly Important") converted into Triangular Fuzzy Numbers (l, m, u—representing lower, middle, upper bounds). Fuzzy Geometric Mean Calculation:
No coding knowledge or software installations are required. Nearly every corporate environment has Excel readily available. ) by dividing each individual crisp weight by
However, human judgment is rarely precise. When comparing “slightly more important” or “much more important,” people often have a range of acceptable values in mind, not a single integer. extends the original method by replacing crisp comparison values with triangular fuzzy numbers (TFNs) such as (l, m, u), where l is the lower bound, m is the most plausible value, and u is the upper bound. This small change has a huge impact:
Calculate the total sum of all your calculated geometric means. Note that when multiplying by the reciprocal, the lower bound is divided by the sum of the upper bounds, and vice versa, to maintain structural consistency. Fuzzy Geometric Mean Calculation: No coding knowledge or
Beware of simple "macro-free" sheets that claim to do Fuzzy AHP—they often skip critical steps like geometric mean aggregation or proper defuzzification.
Instead of asserting that Criterion A is exactly 3 times more important than Criterion B, FAHP defines it as