IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v115y1999i3p624-633.html
   My bibliography  Save this article

A process for generating quantitative belief functions

Author

Listed:
  • Bryson, Noel (Kweku-Muata)
  • Mobolurin, Ayodele

Abstract

No abstract is available for this item.

Suggested Citation

  • Bryson, Noel (Kweku-Muata) & Mobolurin, Ayodele, 1999. "A process for generating quantitative belief functions," European Journal of Operational Research, Elsevier, vol. 115(3), pages 624-633, June.
    • Handle: RePEc:eee:ejores:v:115:y:1999:i:3:p:624-633
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(98)00181-7
    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. Daniëlle Timmermans, 1994. "The Roles of Experience and Domain of Expertise in Using Numerical and Verbal Probability Terms in Medical Decisions," Medical Decision Making, , vol. 14(2), pages 146-156, April.
    2. Bryson, Noel & Mobolurin, Ayodele & Ngwenyama, Ojelanki, 1995. "Modelling pairwise comparisons on ratio scales," European Journal of Operational Research, Elsevier, vol. 83(3), pages 639-654, June.
    3. Hamm, Robert M., 1991. "Selection of verbal probabilities: A solution for some problems of verbal probability expression," Organizational Behavior and Human Decision Processes, Elsevier, vol. 48(2), pages 193-223, April.
    4. Budescu, David V. & Wallsten, Thomas S., 1985. "Consistency in interpretation of probabilistic phrases," Organizational Behavior and Human Decision Processes, Elsevier, vol. 36(3), pages 391-405, December.
    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. Yang, J.B. & Wang, Y.M. & Xu, D.L. & Chin, K.S., 2006. "The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties," European Journal of Operational Research, Elsevier, vol. 171(1), pages 309-343, May.
    2. Beynon, Malcolm, 2002. "DS/AHP method: A mathematical analysis, including an understanding of uncertainty," European Journal of Operational Research, Elsevier, vol. 140(1), pages 148-164, July.
    3. Wang, Ying-Ming & Yang, Jian-Bo & Xu, Dong-Ling, 2006. "Environmental impact assessment using the evidential reasoning approach," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1885-1913, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huizingh, Eelko K. R. E. & Vrolijk, Hans C. J., 1997. "A Comparison of Verbal and Numerical Judgments in the Analytic Hierarchy Process," Organizational Behavior and Human Decision Processes, Elsevier, vol. 70(3), pages 237-247, June.
    2. Haran, Uriel & Mazar, Asaf & Hurwitz, Mordechai & Moran, Simone, 2022. "Confidently at your service: Advisors alter their stated confidence to be helpful," Organizational Behavior and Human Decision Processes, Elsevier, vol. 171(C).
    3. Teigen, Karl Halvor & Brun, Wibecke, 1999. "The Directionality of Verbal Probability Expressions: Effects on Decisions, Predictions, and Probabilistic Reasoning, , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 80(2), pages 155-190, November.
    4. Piercey, M. David, 2009. "Motivated reasoning and verbal vs. numerical probability assessment: Evidence from an accounting context," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(2), pages 330-341, March.
    5. David Budescu & Han-Hui Por & Stephen Broomell, 2012. "Effective communication of uncertainty in the IPCC reports," Climatic Change, Springer, vol. 113(2), pages 181-200, July.
    6. Mustajoki, Jyri & Hamalainen, Raimo P. & Lindstedt, Mats R.K., 2006. "Using intervals for global sensitivity and worst-case analyses in multiattribute value trees," European Journal of Operational Research, Elsevier, vol. 174(1), pages 278-292, October.
    7. Katarzyna Kolesnik & Sylwia Silska-Gembka & Jerzy Gierusz, 2019. "The Interpretation of the Verbal Probability Expressions Used in The IFRS – The Differences Observed Between Polish and British Accounting Professionals," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 18(1), pages 25-49, March.
    8. Ngwenyama, Ojelanki K. & Bryson, Noel, 1999. "Eliciting and mapping qualitative preferences to numeric rankings in group decision making," European Journal of Operational Research, Elsevier, vol. 116(3), pages 487-497, August.
    9. Doupnik, Timothy S. & Richter, Martin, 2003. "Interpretation of uncertainty expressions: a cross-national study," Accounting, Organizations and Society, Elsevier, vol. 28(1), pages 15-35, January.
    10. Wang, Qun & Jia, Guozhu & Song, Wenyan, 2022. "Identifying critical factors in systems with interrelated components: A method considering heterogeneous influence and strength attenuation," European Journal of Operational Research, Elsevier, vol. 303(1), pages 456-470.
    11. M Tavana & M A Sodenkamp, 2010. "A fuzzy multi-criteria decision analysis model for advanced technology assessment at Kennedy Space Center," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(10), pages 1459-1470, October.
    12. repec:cup:judgdm:v:14:y:2019:i:6:p:683-695 is not listed on IDEAS
    13. Prather-Kinsey, Jenice & Boyar, Scott & Hood, Anthony C., 2018. "Implications for IFRS principles-based and US GAAP rules-based applications: Are accountants’ decisions affected by work location and core self-evaluations?," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 32(C), pages 61-69.
    14. repec:cup:judgdm:v:16:y:2021:i:2:p:363-393 is not listed on IDEAS
    15. Srilata A. Zaheer, "undated". "Acceptable Risk: A Study of Global Currency Trading Rooms in the US and Japan," Center for Financial Institutions Working Papers 97-22, Wharton School Center for Financial Institutions, University of Pennsylvania.
    16. Andrea D. Gurmankin & Jonathan Baron & Katrina Armstrong, 2004. "Intended Message Versus Message Received in Hypothetical Physician Risk Communications: Exploring the Gap," Risk Analysis, John Wiley & Sons, vol. 24(5), pages 1337-1347, October.
    17. Raquel Sanchis & Alfonso Duran-Heras & Raul Poler, 2020. "Optimising the Preparedness Capacity of Enterprise Resilience Using Mathematical Programming," Mathematics, MDPI, vol. 8(9), pages 1-29, September.
    18. Cunha, Flávio & Elo, Irma & Culhane, Jennifer, 2022. "Maternal subjective expectations about the technology of skill formation predict investments in children one year later," Journal of Econometrics, Elsevier, vol. 231(1), pages 3-32.
    19. David R. Mandel & Daniel Irwin, 2021. "Facilitating sender-receiver agreement in communicated probabilities: Is it best to use words, numbers or both?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(2), pages 363-393, March.
    20. G Montibeller & V Belton & F Ackermann & L Ensslin, 2008. "Reasoning maps for decision aid: an integrated approach for problem-structuring and multi-criteria evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 575-589, May.
    21. Romero, Carlos, 2001. "Extended lexicographic goal programming: a unifying approach," Omega, Elsevier, vol. 29(1), pages 63-71, February.
    22. Isaac M. Lipkus, 2007. "Numeric, Verbal, and Visual Formats of Conveying Health Risks: Suggested Best Practices and Future Recommendations," Medical Decision Making, , vol. 27(5), pages 696-713, September.

    More about this item

    Statistics

    Access and download statistics

    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:ejores:v:115:y:1999:i:3:p:624-633. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.