DocumentCode
3118355
Title
Efficient centroid computation of general type-2 fuzzy sets with linear secondary membership function
Author
Liu, Xinwang
Author_Institution
Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
fYear
2011
fDate
27-30 June 2011
Firstpage
2163
Lastpage
2169
Abstract
This paper provides root finding methods for the centroid computation of interval type-2 fuzzy sets and general type-2 fuzzy sets with linear secondary membership function. When the FOUs of the type-2 fuzzy sets are provided, the centroid computation methods in this paper is accurate and computational efficient, which provide new methods for the type-2 fuzzy systems computation.
Keywords
fuzzy set theory; centroid computation; footprint of uncertainty; general type-2 fuzzy sets; interval type-2 fuzzy sets; linear secondary membership function; root finding method; Accuracy; Algorithm design and analysis; Approximation algorithms; Approximation methods; Frequency selective surfaces; Fuzzy sets; Uncertainty; Karnik-Mendel (KM) algorithms; Type-2 fuzzy set (IT2 FS); centroid computation; root finding;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location
Taipei
ISSN
1098-7584
Print_ISBN
978-1-4244-7315-1
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2011.6007407
Filename
6007407
Link To Document