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Fuzzy logic programming based knowledge analysis for qualitative comparative analysis
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kachroo, Pushkin Agarwal, Shaurya |
| Copyright Year | 2016 |
| 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://faculty.unlv.edu/anjala/Kachroo_QualQuant_2016.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Decision Making Fuzzy logic Logic programming Programming Languages Programming language Programming tool Prolog Propositional calculus Qualitative comparative analysis Question (inquiry) |
| Content Type | Text |
| Resource Type | Article |
