AHP Online Calculator

The AHP online calculator is part of BPMSG’s free web-based AHP online system AHP-OS. If you need to handle a complete decision hierarchy, group inputs and alternative evaluation, use AHP-OS.

Calculate priorities from pairwise comparisons using the analytic hierarchy process (AHP) with eigen vector method. Input the number of criteria  between 2 and 20 ¹⁾ and a name for each criterion. Next, do a pairwise comparison: Which of the criterion in each pair is more important, and how many times more, on a one to nine scale. With Check consistency you will then get the resulting priorities, their ranking, and a consistency ratio CR²⁾ (ideally < 10%). Calculation is done using the fundamental 1 to 9 AHP ratio scale.

The three judgments with highest inconsistency will be highlighted, with the last column showing the recommended judgment for lowest consistency ratio. Slightly modify your comparisons, if you want to improve consistency, and recalculate the result, or download the result as a csv file.

Example of inconsistent pair-wise comparisons. The most inconsistent judgment no 2 is marked in red (Color or Delivery); the consistent judgment would be 3 (B) and is highlighted in light green. Decision makers can decide to adjust some of their original judgments to improve consistency.

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Please make reference to the author and website, when you use the online calculator for your work. For terms of use please see our user agreement and privacy policy.

Format of the csv file

Fields are separated by tabs:

• Line 1: Date (yyyy-mm-dd)  Time (hh:mm:ss) Title (text)
• Line 2: Number of criteria n
• Line 3: Criteria
• Line 4 to 4+n: Decison matrix
• Second last line:  Priority vector
• Last line: eigenvalue and consistency ratio CR

References

1) Though the maximum number of criteria is 15, you should always try to structure your decision problem in a way that the number of criteria is in the range 5 to 9.

2) Alonso, Lamata, (2006). Consistency in the analytic hierarchy process: a new approach. International Journal of Uncertainty, Fuzziness and Knowledge based systems, Vol 14, No 4, 445-459.