Fuzzy Logic Programming Based Knowledge Analysis for Qualitative Comparative Analysis
Document Type
Article
Publication Date
1-1-2017
Publication Title
Quality and Quantity
Volume
51
Issue
5
First page number:
2101
Last page number:
2113
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. © 2016, Springer Science+Business Media Dordrecht.
Language
english
Repository Citation
Kachroo, P.,
Krishen, A.,
Agarwal, S.
(2017).
Fuzzy Logic Programming Based Knowledge Analysis for Qualitative Comparative Analysis.
Quality and Quantity, 51(5),
2101-2113.
http://dx.doi.org/10.1007/s11135-016-0453-8