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
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;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4673-2336-9
Electronic_ISBN :
pending
DOI :
10.1109/NAFIPS.2012.6291024
