IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v04y2005i01ns0219622005001362.html
   My bibliography  Save this article

A Multicriteria Approach To Dynamic Reasoning In An Intelligent User Interface

Author

Listed:
  • KATERINA KABASSI

    (Department of Informatics, University of Piraeus, 80 Karaoli & Dimitriou St., 18534 Piraeus, Greece)

  • DIMITRIS K. DESPOTIS

    (Department of Informatics, University of Piraeus, 80 Karaoli & Dimitriou St., 18534 Piraeus, Greece)

  • MARIA VIRVOU

    (Department of Informatics, University of Piraeus, 80 Karaoli & Dimitriou St., 18534 Piraeus, Greece)

Abstract

This paper presents the way that the global efficiencies approach has been applied to improve the dynamic reasoning of an intelligent Graphical User Interface (GUI) that is based on the Data Envelopment Analysis (DEA). The GUI provides intelligent help to users during their interaction with an e-mailing system, which is called I-Mailer. For this purpose, I-Mailer constantly reasons about every user action in terms of the user's goals and plans. In case the user is involved in a problematic situation, it transforms the user's problematic action and generates alternative actions to be suggested to the user. The actions suggested should be better than the problematic one in the context of the user's intentions as these are hypothesized by the system. Therefore, DEA is used in order to categorize the candidate alternative actions to be suggested to the user into dominating and dominated ones. However, this process usually results in the production of many alternative actions that could be suggested to the user instead of the one issued. To solve this problem, we have applied the global efficiencies approach to discriminate further among the DEA-efficient alternative actions and select the best alternative action to be suggested to a user. Finally, the system has been evaluated as to the effectiveness of this approach.

Suggested Citation

  • Katerina Kabassi & Dimitris K. Despotis & Maria Virvou, 2005. "A Multicriteria Approach To Dynamic Reasoning In An Intelligent User Interface," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 21-34.
  • Handle: RePEc:wsi:ijitdm:v:04:y:2005:i:01:n:s0219622005001362
    DOI: 10.1142/S0219622005001362
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622005001362
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219622005001362?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
    ---><---

    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. Seiford, Lawrence M. & Zhu, Joe, 1999. "An investigation of returns to scale in data envelopment analysis," Omega, Elsevier, vol. 27(1), pages 1-11, February.
    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. D K Despotis, 2005. "A reassessment of the human development index via data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 969-980, August.
    2. da Silva, Aneirson Francisco & Miranda, Rafael de Carvalho & Marins, Fernando Augusto Silva & Dias, Erica Ximenes, 2024. "A new multiple criteria data envelopment analysis with variable return to scale: Applying bi-dimensional representation and super-efficiency analysis," European Journal of Operational Research, Elsevier, vol. 314(1), pages 308-322.
    3. Zhu, Joe, 2000. "Further discussion on linear production functions and DEA," European Journal of Operational Research, Elsevier, vol. 127(3), pages 611-618, December.
    4. Samoilenko, Sergey & Osei-Bryson, Kweku-Muata, 2013. "Using Data Envelopment Analysis (DEA) for monitoring efficiency-based performance of productivity-driven organizations: Design and implementation of a decision support system," Omega, Elsevier, vol. 41(1), pages 131-142.
    5. Kaoru Tone, 2001. "On Returns to Scale under Weight Restrictions in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 16(1), pages 31-47, July.
    6. Cesaroni, Giovanni & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2017. "Global and local scale characteristics in convex and nonconvex nonparametric technologies: A first empirical exploration," European Journal of Operational Research, Elsevier, vol. 259(2), pages 576-586.
    7. Adel Hatami-Marbini & Zahra Ghelej Beigi & Jens Leth Hougaard & Kobra Gholami, 2014. "Estimating Returns to Scale in Imprecise Data Envelopment Analysis," MSAP Working Paper Series 07_2014, University of Copenhagen, Department of Food and Resource Economics.
    8. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2017. "Assessing the financial and outreach efficiency of microfinance institutions: Do age and size matter?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 63-76.
    9. Harry P. Bowen & Wim Moesen, 2009. "Composite Competitiveness Indicators With Endogenous Versus Predetermined Weights : An Application to the World Economic Forum’s Global Competitiveness Index," Discussion Paper Series 2009-02, McColl School of Business, Queens University of Charlotte.
    10. Sahoo, Biresh K & Khoveyni, Mohammad & Eslami, Robabeh & Chaudhury, Pradipta, 2016. "Returns to scale and most productive scale size in DEA with negative data," European Journal of Operational Research, Elsevier, vol. 255(2), pages 545-558.
    11. A. Davoodi & M. Zarepisheh & H. Rezai, 2015. "The nearest MPSS pattern in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 163-176, March.
    12. Ming-Fu Hsu & Ying-Shao Hsin & Fu-Jiing Shiue, 2022. "Business analytics for corporate risk management and performance improvement," Annals of Operations Research, Springer, vol. 315(2), pages 629-669, August.
    13. Borrero, D.V. & Hinojosa, M.A. & Mármol, A.M., 2016. "DEA production games and Owen allocations," European Journal of Operational Research, Elsevier, vol. 252(3), pages 921-930.
    14. Taleb, Mushtaq & Khalid, Ruzelan & Ramli, Razamin & Ghasemi, Mohammad Reza & Ignatius, Joshua, 2022. "An integrated bi-objective data envelopment analysis model for measuring returns to scale," European Journal of Operational Research, Elsevier, vol. 296(3), pages 967-979.
    15. Qing Yang & Lingmei Fu & Xingxing Liu & Mengying Cheng, 2018. "Evaluating the Efficiency of Municipal Solid Waste Management in China," IJERPH, MDPI, vol. 15(11), pages 1-23, November.
    16. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun & Managi, Shunsuke, 2015. "The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions," Omega, Elsevier, vol. 53(C), pages 30-40.
    17. Zhu, Joe, 2003. "Imprecise data envelopment analysis (IDEA): A review and improvement with an application," European Journal of Operational Research, Elsevier, vol. 144(3), pages 513-529, February.
    18. P. Sunil Dharmapala & Jay B. Ghosh & Hussein M. Saber, 2007. "Market- And Merit-Based Adjustment Of Faculty Salaries," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-19.
    19. E Revilla & J Sarkis & A Modrego, 2003. "Evaluating performance of public–private research collaborations: A DEA analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(2), pages 165-174, February.
    20. Hua, Zhongsheng & Bian, Yiwen & Liang, Liang, 2007. "Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach," Omega, Elsevier, vol. 35(5), pages 578-587, October.

    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:wsi:ijitdm:v:04:y:2005:i:01:n:s0219622005001362. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    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.