IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v3y1994i2p99-110.html
   My bibliography  Save this article

Integrating Logical Inference with Numeric Optimization

Author

Listed:
  • Ho Geun Lee
  • Ronald M. Lee

Abstract

OR and AI techniques have progressed separately without adequate interactions although they can benefit from each other's complementary strengths: OR in efficient mathematical computation and AI in domain‐specific knowledge representation. Constraint Logic Programming (CLP) is introduced as a problem‐ solving tool which combines these complementary strengths. CLP uses predicate logic for knowledge representation, thus providing stronger expressive powers than prepositional logic, which is employed by mathematical programming. In addition, CLP allows numeric optimization with a computational efficiency comparable to OR approaches. This integration of logical inference and mathematical computation fits well into a special class of decision problems that requires not only logical inference on domain‐specific knowledge but also numeric optimization through mathematical formulation. A production planning problem is introduced and solved by CLP. The results are compared with an implementation by mixed integer programming to show the advantages of the integration of OR and AI approaches over either one used alone.

Suggested Citation

  • Ho Geun Lee & Ronald M. Lee, 1994. "Integrating Logical Inference with Numeric Optimization," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 3(2), pages 99-110, April.
    • Handle: RePEc:wly:isacfm:v:3:y:1994:i:2:p:99-110
    DOI: 10.1002/j.1099-1174.1994.tb00059.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/j.1099-1174.1994.tb00059.x
    Download Restriction: no
    File URL: https://libkey.io/10.1002/j.1099-1174.1994.tb00059.x?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. Robert R. Trippi, 1990. "Decision Support and Expert Systems for Real Estate Investment Decisions: A Review," Interfaces, INFORMS, vol. 20(5), pages 50-60, October.
    Full references (including those not matched with items on IDEAS)

    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. Patrick Krieger & Carsten Lausberg, 2021. "Entscheidungen, Entscheidungsfindung und Entscheidungsunterstützung in der Immobilienwirtschaft: Eine systematische Literaturübersicht [Decisions, decision-making and decisions support systems in r," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 7(1), pages 1-33, April.
    2. Scott, Susan V., 1999. "IT-enabled credit risk modernization: a revolution under the cloak of normality," LSE Research Online Documents on Economics 37871, London School of Economics and Political Science, LSE Library.
    3. Brano Glumac & Francois Des Rosiers, 2018. "Real estate and land property automated valuations systems: a taxonomy and conceptual model," ERES eres2018_148, European Real Estate Society (ERES).

    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:3:y:1994:i:2:p:99-110. 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.