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An Expert System for a Business Problem

Author

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  • Vasile MAZILESCU

    (Dunarea de Jos University of Galati, Romania)

Abstract

The dynamic nature of economic processes and phenomena, their complexity and diversity, the prospect of economic globalization and decentralization, have determined the decision makers to focus on continually improving the methods and techniques aimed to support them, both at the microeconomic and the macroeconomic level. The work in hand compares Business Intelligence Systems (BIS) in relation to Intelligent Business Systems (IBS). We highlight the ways to shift from an E-business system to an IBS system, provide a solution for an Intelligent Business System based on Production Rules (IBSPR). We use this solution in developing a four levels Web application to solve a problem of planning, in compliance with all of the developing phases of an expert system, by using a methodology like UML-Agent for the analysis of the application and by using Net technology.

Suggested Citation

  • Vasile MAZILESCU, 2017. "An Expert System for a Business Problem," Proceedings RCE 2017, Editura Lumen, vol. 0, pages 563-578, November.
    • Handle: RePEc:lum:progal:v::y:2017:i::p:563-578
    DOI: https://doi.org/10.18662/lumproc.rce2017.1.49
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    Cited by:

    1. Anita Nandi & Partha Pratim Sengupta & Abhijit Dutta, 2019. "Diagnosing the Financial Distress in Oil Drilling and Exploration Sector of India through Discriminant Analysis," Vision, , vol. 23(4), pages 364-373, December.

    More about this item

    Keywords

    Intelligent Business System; Expert System; Knowledge; Artificial Intelligence Planning Problem (AIPP). Title of Book: Risk in Contemporary Economy;
    All these keywords.

    JEL classification:

    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate

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