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Effectiveness Analysis Of Deriving Priority Vectors From Reciprocal Pairwise Comparison Matrices

Author

Listed:
  • G. BAJWA

    (Faculty of Business Administration, Simon Fraser University, Burnaby, B.C., Canada V5A 1S6, Canada)

  • E. U. CHOO

    (Faculty of Business Administration, Simon Fraser University, Burnaby, B.C., Canada V5A 1S6, Canada)

  • W. C. WEDLEY

    (Faculty of Business Administration, Simon Fraser University, Burnaby, B.C., Canada V5A 1S6, Canada)

Abstract

Pairwise comparison is commonly used to estimate the priority values of finite alternatives with respect to a given criterion. We evaluate seven specially selected direct methods of estimating priority vectors from reciprocal pairwise comparison matrices under four effectiveness measures. A simulation experiment is designed starting with true priority vectors that represent difficult cases of "no obvious best alternative" and "two equal best alternatives". The simulation results suggest that the geometric mean method is in general the best method with the normalized column mean method as a close second best.

Suggested Citation

  • G. Bajwa & E. U. Choo & W. C. Wedley, 2008. "Effectiveness Analysis Of Deriving Priority Vectors From Reciprocal Pairwise Comparison Matrices," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 25(03), pages 279-299.
    • Handle: RePEc:wsi:apjorx:v:25:y:2008:i:03:n:s0217595908001754
    DOI: 10.1142/S0217595908001754
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    Cited by:

    1. Bozóki, Sándor & Fülöp, János, 2018. "Efficient weight vectors from pairwise comparison matrices," European Journal of Operational Research, Elsevier, vol. 264(2), pages 419-427.

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