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A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment

Author

Listed:
  • Namho Lee

    (Consulting Group, SAP Korea)

  • Jae Kwon Bae

    (Dongyang University)

  • Chulmo Koo

    (Chosun University)

Abstract

In order to propose a new cognitive map (CM) inference mechanism that does not require artificial assumptions, we developed a case-based reasoning (CBR) based mechanism called the CBRMCM (Case-Based Reasoning based Multi-agent Cognitive Map). The key idea of the CBRMCM mechanism involves converting all of the factors (nodes) that constitute the CM into intelligent agents that determine their own status by checking status changes and relationship with other agents and the results being reported to other related node agents. Furthermore, the CBRMCM is deployed when each node agent references the status of other related nodes to determine its own status value. This approach eliminates the artificial fuzzy value conversion and the numerical inference function that were required for obtaining CM inference. Using the CBRMCM mechanism, we have demonstrated that the task of analyzing a sales opportunity could be systematically and intelligently solved and thus, IS project managers can be provided with robust decision support.

Suggested Citation

  • Namho Lee & Jae Kwon Bae & Chulmo Koo, 2012. "A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment," Information Systems Frontiers, Springer, vol. 14(3), pages 653-668, July.
    • Handle: RePEc:spr:infosf:v:14:y:2012:i:3:d:10.1007_s10796-011-9294-0
    DOI: 10.1007/s10796-011-9294-0
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    References listed on IDEAS

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    1. Liao, Shu-hsien, 2000. "Case-based decision support system: Architecture for simulating military command and control," European Journal of Operational Research, Elsevier, vol. 123(3), pages 558-567, June.
    2. Janice Glasgow & Tony Kuo & Jim Davies, 2006. "Protein Structure from Contact Maps: A Case-Based Reasoning Approach," Information Systems Frontiers, Springer, vol. 8(1), pages 29-36, February.
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    Cited by:

    1. Bexy Alfonso & Vicente Botti & Antonio Garrido & Adriana Giret, 2014. "A MAS-based infrastructure for negotiation and its application to a water-right market," Information Systems Frontiers, Springer, vol. 16(2), pages 183-199, April.
    2. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    3. Hui Li & Jun‐Ling Yu & Qing Zhou & Jian‐Hu Cai, 2013. "Forecasting Firm Risk In The Emerging Market Of China With Sequential Optimization Of Influence Factors On Performance Of Case‐Based Reasoning: An Empirical Study With Imbalanced Samples," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(3), pages 141-161, July.

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