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Fuzzy logic programming based knowledge analysis for qualitative comparative analysis

Author

Listed:
  • Pushkin Kachroo

    (UNLV)

  • Anjala Krishen

    (UNLV)

  • Shaurya Agarwal

    (CSULA)

Abstract

This paper presents a way to combine outcomes of various studies in a meta analysis framework that can use the results of mixed methods and also provide query based output for intelligent decision making. We enhance the Qualitative Comparative Analysis by utilizing fuzzy logic programming to provide effective ways of combining output of various studies. The results from various studies are used to develop an axiomatic knowledge database, and then the fuzzy programming logic engine processes it to present logical answers to decision maker’s queries to the system. We present a sample application to show the methodology being applied to an example problem.

Suggested Citation

  • Pushkin Kachroo & Anjala Krishen & Shaurya Agarwal, 2017. "Fuzzy logic programming based knowledge analysis for qualitative comparative analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2101-2113, September.
    • Handle: RePEc:spr:qualqt:v:51:y:2017:i:5:d:10.1007_s11135-016-0453-8
    DOI: 10.1007/s11135-016-0453-8
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    References listed on IDEAS

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    1. Malhotra, Naresh K, 1982. "Information Load and Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 419-430, March.
    2. Beatty, Sharon E & Smith, Scott M, 1987. "External Search Effort: An Investigation across Several Product Categories," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 83-95, June.
    3. Jacoby, Jacob, 1984. "Perspectives on Information Overload," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(4), pages 432-435, March.
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    Cited by:

    1. Lucía Muñoz-Pascual & Jesús Galende & Carla Curado, 2019. "Human Resource Management Contributions to Knowledge Sharing for a Sustainability-Oriented Performance: A Mixed Methods Approach," Sustainability, MDPI, vol. 12(1), pages 1-24, December.

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    More about this item

    Keywords

    QCA; Fuzzy logic; Meta analysis;
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