Sign in
Author

Conference

Journal

Organization

Year

DOI
Look for results that meet for the following criteria:
since
equal to
before
between
and
Search in all fields of study
Limit my searches in the following fields of study
Agriculture Science
Arts & Humanities
Biology
Chemistry
Computer Science
Economics & Business
Engineering
Environmental Sciences
Geosciences
Material Science
Mathematics
Medicine
Physics
Social Science
Multidisciplinary
Keywords
(2)
Fuzzy Inference
Fuzzy Set
Subscribe
Academic
Publications
Fuzzy functional inference method
Fuzzy functional inference method,10.1109/FUZZY.2010.5584906,Hirosato Seki,Masaharu Mizumoto
Edit
Fuzzy functional inference method
(
Citations: 2
)
BibTex

RIS

RefWorks
Download
Hirosato Seki
,
Masaharu Mizumoto
This paper proposes a fuzzy functional inference method in which the consequent parts of the TS inference method is generalized to fuzzy functions. Moreover, this paper addresses equivalence of the proposed
fuzzy inference
method. Namely, the fuzzy functional inference method is shown to be equivalent to the weighted TS inference method whose consequent parts have weights, by adopting as the weight the area or the base length of
fuzzy set
obtained from the fuzzy function in the consequent part.
Conference:
IEEE International Conference on Fuzzy Systems
, pp. 16, 2010
DOI:
10.1109/FUZZY.2010.5584906
Cumulative
Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
(
ieeexplore.ieee.org
)
(
ieeexplore.ieee.org
)
Citation Context
(2)
...From this reason, Seki and Mizumoto [
4
], [5] have proposed a fuzzy functional inference method in which the consequent parts of the T–S inference method is generalized to fuzzy functions, and shown the equivalence [6]–[15] between the fuzzy functional inference method and the weighted T–S inference method...
...In this subsection, we review a fuzzy functional inference method [
4
], [5] in which the consequent parts of the T– S inference method are generalized to fuzzy function...
...The representative point y0 is easily obtained from the area of fuzzy sets of the consequent parts and center of gravity by using the product–sum–gravity method [
4
], [5]...
...From [
4
] and [5], the inference result y0 of (20) of the type2 fuzzy functional inference method can be transformed...
...As well as Model 1, the representative point y0 of Model 2 is obtained from the area of fuzzy sets of the consequent parts and center of gravity (See [
4
], [5] for detail)...
Hirosato Seki
,
et al.
Type2 fuzzy functional inference method
...From this reason, Seki and Mizumoto [
4
] have proposed a fuzzy functional inference method in which the consequent parts of the TS inference method is generalized to fuzzy functions, and shown the equivalence [5] [14] between the fuzzy functionoal inference method and the weighted TS inference method...
...In this subsection, we review a fuzzy functional inference method [
4
] in which the consequent parts of the TS inference method are generalized to fuzzy function...
...Next, we consider a weighted TS inference method [
4
] as follows...
...We briefly review the equivalence between the fuzzy func tional inference method and weighted TS inference method [
4
]...
...The inference result Yo of F' in (13) is given as follows [
4
]:...
Hirosato Seki
,
et al.
Additive fuzzy functional inference methods
References
(18)
Fuzzy Sets
(
Citations: 15880
)
Lotfi A. Zadeh
Journal:
Information and Computation/information and Control  IANDC
, vol. 8, no. 3, pp. 338353, 1965
Application of fuzzy algorithms for control of simple dynamic plant
(
Citations: 589
)
E. H. Mamdani
Journal:
Proceedings of The Institution of Electrical Engineers
, vol. 121, no. 12, 1974
An introductory survey of fuzzy control
(
Citations: 426
)
Michio Sugeno
Journal:
Information Sciences  ISCI
, vol. 36, no. 12, pp. 5983, 1985
Fuzzy identification of systems and its applications for modeling and control
(
Citations: 3693
)
T. Takagi
,
M. Sugeno
Published in 1999.
An introduction to type2 TSK fuzzy logic systems
(
Citations: 30
)
Qilian Liang
,
Jerry M. Mendel
Conference:
IEEE International Conference on Fuzzy Systems
, vol. 3, pp. 15341539 vol.3, 1999
Sort by:
Citations
(2)
Type2 fuzzy functional inference method
Hirosato Seki
,
Masaharu Mizumoto
Conference:
IEEE International Conference on Fuzzy Systems
, pp. 12081212, 2011
Additive fuzzy functional inference methods
(
Citations: 1
)
Hirosato Seki
,
Masaharu Mizumoto
Conference:
IEEE International Conference on Systems, Man, and Cybernetics  SMC
, pp. 43044309, 2010