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Contextual Fuzzy-Based Decision Support System Through Opinion Analysis: A Case Study at University of the Salerno

Author

Listed:
  • Carmen De Maio

    (Deparment of Computer Science, University of Salerno, Fisciano (SA), Italy)

  • Aurelio Tommasetti

    (Department of Management and Information Technology, University of Salerno, Fisciano (SA), Italy)

  • Orlando Troisi

    (Department of Management and Information Technology, University of Salerno, Fisciano (SA), Italy)

  • Massimiliano Vesci

    (Department of Management and Information Technology, University of Salerno, Fisciano (SA), Italy)

  • Giuseppe Fenza

    (Department of Management and Information Technology, University of Salerno, Fisciano (SA), Italy)

  • Vincenzo Loia

    (Department of Management and Information Technology, University of Salerno, Fisciano (SA), Italy)

Abstract

According to the literature about customer satisfaction and loyalty, it is possible to define knowledge-based system to support management decision-making in the organizations. Nevertheless, the problem as to how much the context impacts on correlation has not been investigated in the literature. This paper focuses on developing of Decision Support System (DSS) taking into account correlations among statistical factors, i.e., expert knowledge, and customers’ opinions depending on several contextual features, e.g., culture, location, in order to build context-sensitive simulation environment. The proposed work defines a general system design workflow to tailor knowledge-based DSS by using a fuzzy model to quantify correlations among variables in a given context. We explore ontologies to represent correlations among statistical factors, e.g., Calculative Commitment, Quality of Service. We apply fuzzy data analysis techniques to train fuzzy classifier on the customer’s opinions collected by survey. Finally, synergistic usage of Description Logic and Fuzzy Theory allows the implementation of a simulation environment that supports the management team to tune business strategies. The framework has been instantiated for a case study to support public administration at the University of the Salerno.

Suggested Citation

  • Carmen De Maio & Aurelio Tommasetti & Orlando Troisi & Massimiliano Vesci & Giuseppe Fenza & Vincenzo Loia, 2016. "Contextual Fuzzy-Based Decision Support System Through Opinion Analysis: A Case Study at University of the Salerno," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 923-948, September.
    • Handle: RePEc:wsi:ijitdm:v:15:y:2016:i:05:n:s0219622016500231
    DOI: 10.1142/S0219622016500231
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    References listed on IDEAS

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    1. Brunella Caroleo & Enrico Palumbo & Michele Osella & Antonio Lotito & Giuseppe Rizzo & Enrico Ferro & Antonio Attanasio & Silvia Chiusano & Giulio Zuccaro & Mattia Leone & Daniela De Gregorio, 2018. "A Knowledge-Based Multi-Criteria Decision Support System Encompassing Cascading Effects for Disaster Management," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 1469-1498, September.

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