DocumentCode
3192544
Title
Fast Fuzzy set Qualitative Comparative Analysis (Fast fsQCA)
Author
Mendel, Jerry M. ; Korjani, Mohammad M.
Author_Institution
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear
2012
fDate
6-8 Aug. 2012
Firstpage
1
Lastpage
6
Abstract
Fuzzy set Qualitative Comparative Analysis (fsQCA) is a methodology for obtaining linguistic summarizations from data that are associated with cases. It has recently been described as a collection of 13 steps [3]. In this paper we focus on how to speed up some of the computationally intensive steps of fsQCA and how to use the speed-up equations to obtain some interesting properties of fsQCA.
Keywords
computational linguistics; fuzzy set theory; fast fsQCA; fast fuzzy set qualitative comparative analysis; linguistic summarization; speed-up equation; Algorithm design and analysis; Educational institutions; Electrical engineering; Equations; Firing; Fuzzy sets; Image processing; fast fsQCA; fsQCA; fuzzy set Qualitative Comparative Analysis; fuzzy sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
Conference_Location
Berkeley, CA
ISSN
pending
Print_ISBN
978-1-4673-2336-9
Electronic_ISBN
pending
Type
conf
DOI
10.1109/NAFIPS.2012.6291025
Filename
6291025
Link To Document