Fuzzy logic programming based knowledge analysis for qualitative comparative analysis |
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Authors: | Pushkin Kachroo Anjala Krishen Shaurya Agarwal |
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Institution: | 1.Department of Electrical and Computer Engineering,UNLV,Las Vegas,USA;2.Department of Marketing and International Business, Lee Business School,UNLV,Las Vegas,USA;3.Department of Electrical Engineering,CSULA,Los Angeles,USA |
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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. |
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