She programmed a second sheet to calculate the fuzzy geometric mean for each row using Excel’s PRODUCT and POWER functions, then sum those, then compute the raw fuzzy weights.
By 6 AM Sunday, she had it. A single, 3.2 MB Excel file. No VBA password. No macros that required special permissions. Just pure, auditable formulas and data validation. She saved it as: Fuzzy_AHP_Template_v1.xlsx . Fuzzy Ahp Excel Template
Instead of debating whether "Quality" was a 5 or a 6, the team selected "Strong Importance" from a dropdown. The template instantly showed the fuzzy triplet: [5, 6, 7]. They did pairwise comparisons for all criteria in 15 minutes. The consistency check flashed . She programmed a second sheet to calculate the
Dr. Anjali Sharma was staring at a spreadsheet that looked like a battlefield. Numbers were crossed out, color-coded cells bled into each other, and the comment boxes were full of arguments like “Supplier A’s delivery is kind of reliable” and “Supplier B’s quality is more or less better.” No VBA password
But the data was a mess. "Cost" was a crisp number. "Environmental Compliance" was a fuzzy feeling. Traditional AHP (Analytic Hierarchy Process) required crisp, confident 1-to-9 ratings. Her team couldn't agree. "Is 'Quality' twice as important as 'Delivery'? Or is it three times?" they'd argue. The process was stalled, paralyzed by the tyranny of precise numbers for imprecise human judgments.