IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v9y2000i1p55-63.html
   My bibliography  Save this article

A methodology for modeling influence diagrams: a case‐based reasoning approach

Author

Listed:
  • Jae Kwang Lee
  • Jae Kyeong Kim
  • Soung Hie Kim

Abstract

In this paper, a case‐based reasoning approach to build an influence diagram is described. Building an influence diagram in decision analysis is known to be a most complicated and burdensome process. To overcome such a difficulty, decision class analysis is suggested, which treats a set of decisions having some degree of similarity as a single unit. This research suggests a case‐based reasoning approach as a methodology to analyze a class of decisions. The candidate influence diagrams are retrieved from a set of similar influence diagrams, a case base. They are combined and modified by the node classification tree and DM’s preference for the given decision problem. For such a purpose, the case representation and retrieval process is explained with the adaptation process. We suggest using two measure, the fitness and garbage ratio for the case retrieval process. The basic concept of decision class analysis and case‐based reasoning is very similar so the case‐based reasoning approach is believed to be a better methodology to implement a decision class analysis. Copyright © 2000 John Wiley & Sons, Ltd.

Suggested Citation

  • Jae Kwang Lee & Jae Kyeong Kim & Soung Hie Kim, 2000. "A methodology for modeling influence diagrams: a case‐based reasoning approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(1), pages 55-63, March.
    • Handle: RePEc:wly:isacfm:v:9:y:2000:i:1:p:55-63
    DOI: 10.1002/(SICI)1099-1174(200003)9:13.0.CO;2-5
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1099-1174(200003)9:13.0.CO;2-5
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1099-1174(200003)9:13.0.CO;2-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ross D. Shachter, 1986. "Evaluating Influence Diagrams," Operations Research, INFORMS, vol. 34(6), pages 871-882, December.
    2. Ronald A. Howard, 1988. "Decision Analysis: Practice and Promise," Management Science, INFORMS, vol. 34(6), pages 679-695, June.
    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. Daniel E. O'Leary, 2009. "Downloads and citations in Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 21-31, January.

    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. Borgonovo, Emanuele & Tonoli, Fabio, 2014. "Decision-network polynomials and the sensitivity of decision-support models," European Journal of Operational Research, Elsevier, vol. 239(2), pages 490-503.
    2. Logan, Douglas M., 1990. "5.4. Decision analysis in engineering-economic modeling," Energy, Elsevier, vol. 15(7), pages 677-696.
    3. Pontus Johnson & Robert Lagerström & Per Närman & Mårten Simonsson, 2007. "Enterprise architecture analysis with extended influence diagrams," Information Systems Frontiers, Springer, vol. 9(2), pages 163-180, July.
    4. repec:cup:judgdm:v:1:y:2006:i::p:162-173 is not listed on IDEAS
    5. Alan Brennan & Samer Kharroubi & Anthony O'Hagan & Jim Chilcott, 2007. "Calculating Partial Expected Value of Perfect Information via Monte Carlo Sampling Algorithms," Medical Decision Making, , vol. 27(4), pages 448-470, July.
    6. Thomas W. Keelin & Bradford W. Powley, 2011. "Quantile-Parameterized Distributions," Decision Analysis, INFORMS, vol. 8(3), pages 206-219, September.
    7. Fernandez del Pozo, J. A. & Bielza, C. & Gomez, M., 2005. "A list-based compact representation for large decision tables management," European Journal of Operational Research, Elsevier, vol. 160(3), pages 638-662, February.
    8. Els Hannes & Diana Kusumastuti & Maikel Espinosa & Davy Janssens & Koen Vanhoof & Geert Wets, 2012. "Mental maps and travel behaviour: meanings and models," Journal of Geographical Systems, Springer, vol. 14(2), pages 143-165, April.
    9. David V. Pynadath & Bistra Dilkina & David C. Jeong & Richard S. John & Stacy C. Marsella & Chirag Merchant & Lynn C. Miller & Stephen J. Read, 2023. "Disaster world," Computational and Mathematical Organization Theory, Springer, vol. 29(1), pages 84-117, March.
    10. Caetani, Alberto Pavlick & Ferreira, Luciano & Borenstein, Denis, 2016. "Development of an integrated decision-making method for an oil refinery restructuring in Brazil," Energy, Elsevier, vol. 111(C), pages 197-210.
    11. Bielza, Concha & Gómez, Manuel & Shenoy, Prakash P., 2011. "A review of representation issues and modeling challenges with influence diagrams," Omega, Elsevier, vol. 39(3), pages 227-241, June.
    12. Zitrou, Athena & Bedford, Tim & Walls, Lesley, 2010. "Bayes geometric scaling model for common cause failure rates," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 70-76.
    13. Tan, Kim Hua & Zhan, YuanZhu & Ji, Guojun & Ye, Fei & Chang, Chingter, 2015. "Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph," International Journal of Production Economics, Elsevier, vol. 165(C), pages 223-233.
    14. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
    15. Kaufman, Gordon M. & Mattar, Mahdi, 2003. "Private Risk," Working papers 4316-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    16. Craig R. Fox & Robert T. Clemen, 2005. "Subjective Probability Assessment in Decision Analysis: Partition Dependence and Bias Toward the Ignorance Prior," Management Science, INFORMS, vol. 51(9), pages 1417-1432, September.
    17. Robert F. Nease JR, 1996. "Do Violations of the Axioms of Expected Utility Theory Threaten Decision Analysis?," Medical Decision Making, , vol. 16(4), pages 399-403, October.
    18. James C. Felli & Gordon B. Hazen, 2004. "Javelin Diagrams: A Graphical Tool for Probabilistic Sensitivity Analysis," Decision Analysis, INFORMS, vol. 1(2), pages 93-107, June.
    19. Dimitrios Gouglas & Kendall Hoyt & Elizabeth Peacocke & Aristidis Kaloudis & Trygve Ottersen & John-Arne Røttingen, 2019. "Setting Strategic Objectives for the Coalition for Epidemic Preparedness Innovations: An Exploratory Decision Analysis Process," Service Science, INFORMS, vol. 49(6), pages 430-446, November.
    20. Ali E. Abbas & Il-Horn Hann, 2010. "Measuring Risk Aversion in a Name-Your-Own-Price Channel," Decision Analysis, INFORMS, vol. 7(1), pages 123-136, March.
    21. Prakash Shenoy, 1998. "Game Trees For Decision Analysis," Theory and Decision, Springer, vol. 44(2), pages 149-171, April.

    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:wly:isacfm:v:9:y:2000:i:1:p:55-63. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    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.