DocumentCode
1476327
Title
Connect Karnik-Mendel Algorithms to Root-Finding for Computing the Centroid of an Interval Type-2 Fuzzy Set
Author
Xinwang Liu ; Mendel, J.M.
Author_Institution
Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
Volume
19
Issue
4
fYear
2011
Firstpage
652
Lastpage
665
Abstract
Based on a new continuous Karnik-Mendel (KM) algorithm expression, this paper proves that the centroid computation of an interval type-2 fuzzy set using KM algorithms is equivalent to the Newton-Raphson method in root-finding, which reveals the mechanisms in KM algorithm computation. The theoretical results of KM algorithms are re-obtained. Different from current KM algorithms, centroid computation methods that use different root-finding routines are provided. Such centroid computation methods can obtain the exact solution and are different from the current approximate methods using sampled data. Further improvements and analysis of the centroid problem using root-finding and integral computation techniques are also possible.
Keywords
Newton-Raphson method; approximation theory; fuzzy logic; fuzzy set theory; integral equations; KM algorithms; Newton-Raphson method; approximate methods; centroid computation methods; continuous Karnik-Mendel algorithm expression; integral computation techniques; interval type-2 fuzzy set; root-finding; type-2 fuzzy logic system; Algorithm design and analysis; Approximation algorithms; Convergence; Equations; Frequency selective surfaces; Newton method; Uncertainty; Centroid computation; Karnik–Mendel (KM) algorithms; interval type-2 fuzzy set (IT2 FS); root-finding;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/TFUZZ.2011.2130528
Filename
5735205
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