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Risk of Falling in Older Women II

Author

Listed:
  • Laura Armas

    (Osteoporosis Research Center, Creighton University Medical Center, Omaha, NE 68178, USA)

  • Joan Lappe

    (Osteoporosis Research Center, Creighton University Medical Center, Omaha, NE 68178, USA)

  • Maureen Boyce

    (Political Science Department, Creighton University, Omaha, NE 68178, USA)

  • Mark Byrne

    (Osteoporosis Research Center, Creighton University Medical Center, Omaha, NE 68178, USA)

  • Asia A. Inagaki

    (Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA)

  • Shih-Chuan Cheng

    (Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA)

  • Davender S. Malik

    (Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA)

  • John N. Mordeson

    (Department of Mathematics, Creighton University, Omaha, Nebraska 68178, USA)

Abstract

We examine the five methods for determining the degree of the risk of falling in older women. These five methods are the Analytic Hierarchy Process (AHP), the Guiasu method, the Yen method, the set-valued statistical method, and the Dempster–Shafer method. We consider the weight of importance of the experts involved. We show that the coefficients of the factors for the risk of falling for the AHP equation may be different than those determined by the weighted AHP method, but that they remain exactly the same for the Guiasu, Yen, and set-valued statistical methods. We also determine conditions under which the coefficients of the factors are the same for the weighted AHP, Guiasu, Yen, and set-valued statistical methods.

Suggested Citation

  • Laura Armas & Joan Lappe & Maureen Boyce & Mark Byrne & Asia A. Inagaki & Shih-Chuan Cheng & Davender S. Malik & John N. Mordeson, 2015. "Risk of Falling in Older Women II," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 217-227.
  • Handle: RePEc:wsi:nmncxx:v:11:y:2015:i:03:n:s1793005715500064
    DOI: 10.1142/S1793005715500064
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