Fuzzy logic programming based knowledge analysis for qualitative comparative analysis

Pushkin Kachroo (), Anjala Krishen () and Shaurya Agarwal ()
Additional contact information
Pushkin Kachroo: UNLV
Anjala Krishen: UNLV
Shaurya Agarwal: CSULA

Quality & Quantity: International Journal of Methodology, 2017, vol. 51, issue 5, No 13, 2113 pages

Abstract: 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.

Keywords: QCA; Fuzzy logic; Meta analysis (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11135-016-0453-8

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