IDEAS home Printed from https://ideas.repec.org/a/eee/insuma/v75y2017icp189-202.html
   My bibliography  Save this article

Fuzzy logic modifications of the Analytic Hierarchy Process

Author

Listed:
  • Shapiro, Arnold F.
  • Koissi, Marie-Claire

Abstract

The Analytic Hierarchy Process (AHP) is a measurement methodology based on pair-wise comparisons that relies on judgment to derive priority scales. During its implementation, one constructs hierarchies, then makes judgments or performs measurements on pairs of elements with respect to a criterion to derive preference scales, which are then synthesized throughout the structure to select the preferred alternative.

Suggested Citation

  • Shapiro, Arnold F. & Koissi, Marie-Claire, 2017. "Fuzzy logic modifications of the Analytic Hierarchy Process," Insurance: Mathematics and Economics, Elsevier, vol. 75(C), pages 189-202.
  • Handle: RePEc:eee:insuma:v:75:y:2017:i:c:p:189-202
    DOI: 10.1016/j.insmatheco.2017.05.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167668717300902
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. James S. Dyer, 1990. "Remarks on the Analytic Hierarchy Process," Management Science, INFORMS, vol. 36(3), pages 249-258, March.
    2. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    3. Vargas, Luis G., 1990. "An overview of the analytic hierarchy process and its applications," European Journal of Operational Research, Elsevier, vol. 48(1), pages 2-8, September.
    4. Watson, SR, 1982. "Assesing Attribute Weights," Omega, Elsevier, vol. 10(6), pages 582-583.
    5. Lootsma, F. A., 1980. "Saaty's priority theory and the nomination of a senior professor in operations Research," European Journal of Operational Research, Elsevier, vol. 4(6), pages 380-388, June.
    6. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    7. Korhonen, Pekka & Voutilainen, Raimo, 2006. "Finding the most preferred alliance structure between banks and insurance companies," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1285-1299, December.
    8. James S. Dyer, 1990. "A Clarification of "Remarks on the Analytic Hierarchy Process"," Management Science, INFORMS, vol. 36(3), pages 274-275, March.
    9. Shapiro, Arnold F., 2004. "Fuzzy logic in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 35(2), pages 399-424, October.
    10. Buckley, James J. & Feuring, Thomas & Hayashi, Yoichi, 2001. "Fuzzy hierarchical analysis revisited," European Journal of Operational Research, Elsevier, vol. 129(1), pages 48-64, February.
    11. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    12. Joaquín Pérez & José Jimeno & Ethel Mokotoff, 2006. "Another potential shortcoming of AHP," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 99-111, June.
    13. Lee, Seong Kon & Mogi, Gento & Hui, K.S., 2013. "A fuzzy analytic hierarchy process (AHP)/data envelopment analysis (DEA) hybrid model for efficiently allocating energy R&D resources: In the case of energy technologies against high oil prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 347-355.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:wsi:ijitdm:v:18:y:2019:i:01:n:s0219622018500451 is not listed on IDEAS

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:insuma:v:75:y:2017:i:c:p:189-202. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/505554 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.