DocumentCode
3192523
Title
Validation of Fuzzy set Qualitative Comparative Analysis (fsQCA): Granular description of a function
Author
Korjani, Mohammad M. ; Mendel, Jerry M.
Author_Institution
Signal & Image Process. Inst., 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 contains 13 steps which are mathematically described in [2]. In this paper we focus on the validation of fsQCA by using it to obtain a granular (linguistic) description of a function as a collection of fuzzy IF-THEN rules, where the rules may be viewed as a summary of the function.
Keywords
computational linguistics; fuzzy set theory; fsQCA; fuzzy if-then rules; fuzzy set qualitative comparative analysis; granular description; linguistic summarizations; Educational institutions; Fuzzy sets; Image processing; Optimization; Pragmatics; USA Councils; fsQCA; function granulation; 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.2012.6291024
Filename
6291024
Link To Document