Title :
Efficient centroid computation of general type-2 fuzzy sets with linear secondary membership function
Author_Institution :
Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
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;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007407
