An Approach Towards the Design of Interval Type-3 T-S Fuzzy System
This article providesa systematic approach for the design of an interval type-3 (IT3) Takagi-Sugeno (T-S) fuzzy logic system (FLS) using <inline-formula><tex-math notation="LaTeX">\alpha </tex-math></inline-formula>- plane representation. An IT3 FLS is designed with...
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| Published in: | IEEE transactions on fuzzy systems Vol. 30; no. 9; pp. 3880 - 3893 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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New York
IEEE
01.09.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1063-6706, 1941-0034 |
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| Abstract | This article providesa systematic approach for the design of an interval type-3 (IT3) Takagi-Sugeno (T-S) fuzzy logic system (FLS) using <inline-formula><tex-math notation="LaTeX">\alpha </tex-math></inline-formula>- plane representation. An IT3 FLS is designed with the baseline of the general type-2 (GT2) FLS in a similar manner as an IT2 FLS was designed from the baseline of type-1 FLS. Hence, IT3 FLS evolved as a successor of GT2 FLS, where secondary membership function is an interval type-2 fuzzy set (FS), and values of tertiary membership are unity over the footprint of uncertainty of secondary membership. This extra degree of freedom in IT3 FLS provides better modeling capability as compared to GT2 FLS in the presence of a high degree of uncertainty and vagueness. The proposed system will be more appealing while dealing with uncertain information or data, which is supposed to be generated from uncertain sources; i.e., there exist uncertainties even in the presence of uncertainty. The computations needed for the design of IT3 FLS are derived using IT2 FS and GT2 FS mathematics. The design algorithms adopted for the baseline IT2 T-S fuzzy system are as per the modified interval type-2 fuzzy c-regression model clustering algorithm and hyper-plane-shaped membership function. The proposed methodology is applied to several benchmark examples and obtained results are compared with recently developed fuzzy modeling methods having a comparable number of rule bases. The proposed IT3 T-S FLS shows good performance in terms of accuracy when data is corrupted by noise and uncertainties related to missing or unvarying data exist. The computational cost is linear with design parameters and by optimum choice of <inline-formula><tex-math notation="LaTeX">\alpha </tex-math></inline-formula>-planes, it is still bearable considering advantages and nature of applications. |
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| AbstractList | This article providesa systematic approach for the design of an interval type-3 (IT3) Takagi-Sugeno (T-S) fuzzy logic system (FLS) using <inline-formula><tex-math notation="LaTeX">\alpha </tex-math></inline-formula>- plane representation. An IT3 FLS is designed with the baseline of the general type-2 (GT2) FLS in a similar manner as an IT2 FLS was designed from the baseline of type-1 FLS. Hence, IT3 FLS evolved as a successor of GT2 FLS, where secondary membership function is an interval type-2 fuzzy set (FS), and values of tertiary membership are unity over the footprint of uncertainty of secondary membership. This extra degree of freedom in IT3 FLS provides better modeling capability as compared to GT2 FLS in the presence of a high degree of uncertainty and vagueness. The proposed system will be more appealing while dealing with uncertain information or data, which is supposed to be generated from uncertain sources; i.e., there exist uncertainties even in the presence of uncertainty. The computations needed for the design of IT3 FLS are derived using IT2 FS and GT2 FS mathematics. The design algorithms adopted for the baseline IT2 T-S fuzzy system are as per the modified interval type-2 fuzzy c-regression model clustering algorithm and hyper-plane-shaped membership function. The proposed methodology is applied to several benchmark examples and obtained results are compared with recently developed fuzzy modeling methods having a comparable number of rule bases. The proposed IT3 T-S FLS shows good performance in terms of accuracy when data is corrupted by noise and uncertainties related to missing or unvarying data exist. The computational cost is linear with design parameters and by optimum choice of <inline-formula><tex-math notation="LaTeX">\alpha </tex-math></inline-formula>-planes, it is still bearable considering advantages and nature of applications. This article providesa systematic approach for the design of an interval type-3 (IT3) Takagi–Sugeno (T–S) fuzzy logic system (FLS) using [Formula Omitted]- plane representation. An IT3 FLS is designed with the baseline of the general type-2 (GT2) FLS in a similar manner as an IT2 FLS was designed from the baseline of type-1 FLS. Hence, IT3 FLS evolved as a successor of GT2 FLS, where secondary membership function is an interval type-2 fuzzy set (FS), and values of tertiary membership are unity over the footprint of uncertainty of secondary membership. This extra degree of freedom in IT3 FLS provides better modeling capability as compared to GT2 FLS in the presence of a high degree of uncertainty and vagueness. The proposed system will be more appealing while dealing with uncertain information or data, which is supposed to be generated from uncertain sources; i.e., there exist uncertainties even in the presence of uncertainty. The computations needed for the design of IT3 FLS are derived using IT2 FS and GT2 FS mathematics. The design algorithms adopted for the baseline IT2 T–S fuzzy system are as per the modified interval type-2 fuzzy c-regression model clustering algorithm and hyper-plane-shaped membership function. The proposed methodology is applied to several benchmark examples and obtained results are compared with recently developed fuzzy modeling methods having a comparable number of rule bases. The proposed IT3 T–S FLS shows good performance in terms of accuracy when data is corrupted by noise and uncertainties related to missing or unvarying data exist. The computational cost is linear with design parameters and by optimum choice of [Formula Omitted]-planes, it is still bearable considering advantages and nature of applications. |
| Author | Verma, Nishchal Ghosh, Ajoy Malagaudanavar, Appasaheb Singh, Dhanjeet |
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| Cites_doi | 10.1109/ACCESS.2021.3049301 10.1109/TFUZZ.2018.2803751 10.1016/j.ins.2012.02.031 10.1109/FUZZ-IEEE.2018.8491556 10.1016/j.ins.2011.10.015 10.1109/TFUZZ.2011.2173693 10.1109/TFUZZ.2017.2704542 10.1007/978-3-030-02155-9_3 10.1109/TFUZZ.2016.2598850 10.1109/TFUZZ.2016.2637403 10.1109/TFUZZ.2008.2006369 10.1109/91.618271 10.1109/FUZZY.2010.5584727 10.2514/5.9781600865893.0233.0247 10.1016/j.engappai.2020.103916 10.1109/TSMCB.2009.2029986 10.1109/TFUZZ.2018.2856184 10.1109/FUZZY.2009.5276884 10.1007/978-3-7643-7988-9 10.1016/j.isatra.2007.09.001 10.1109/TFUZZ.2018.2862869 10.1109/TFUZZ.2010.2046904 10.1109/TFUZZ.1993.390281 10.1109/FUZZY.2010.5584174 10.1109/TFUZZ.2016.2598363 10.1109/NAFIPS.2008.4531276 10.1109/TFUZZ.2009.2024411 10.1109/91.728458 10.1109/TFUZZ.2003.822681 10.1016/S0020-7373(81)80051-X 10.1016/j.asoc.2018.06.049 10.1109/TFUZZ.2013.2240690 10.1109/TFUZZ.2013.2286414 10.1109/FUZZ-IEEE.2012.6251270 10.1109/TFUZZ.2020.3016034 10.1007/s40815-021-01058-1 10.1155/2012/879629 10.4324/9780429492648 10.1016/j.engappai.2018.06.013 10.1109/ACCESS.2020.2980686 10.1109/TFUZZ.2013.2278972 10.1007/s40815-020-00806-z 10.1109/TFUZZ.2019.2928509 10.1016/S0031-3203(98)00174-5 10.1007/s10707-006-0009-5 10.1109/TIE.2017.2688963 10.1016/j.engappai.2009.02.003 10.1016/j.ins.2020.03.059 10.1109/91.660805 10.1016/S0165-0114(01)00150-6 10.1007/978-1-4614-3442-9_3 10.1109/TFUZZ.2006.879986 10.1016/j.advengsoft.2004.12.001 10.1109/TFUZZ.2008.925907 10.14736/kyb-2018-1-0175 10.1109/TFUZZ.2020.2970911 10.1109/TFUZZ.2009.2039368 10.1109/TFUZZ.2020.3018550 10.1109/ACCESS.2020.3044548 10.1016/j.ins.2007.11.014 10.1007/978-3-319-31093-0_6 10.1109/TFUZZ.2003.817839 10.1109/TFUZZ.2020.2981002 |
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| SubjectTerms | Algorithms Alpha-plane Clustering Clustering algorithms Design Design parameters Frequency selective surfaces Fuzzy logic Fuzzy sets Fuzzy systems general type-2 (GT2) fuzzy logic system (FLS) interval type-3 Takagi–Sugeno (T–S) fuzzy logic system (FLS) Modelling Noise measurement Regression models tertiary membership Uncertainty |
| Title | An Approach Towards the Design of Interval Type-3 T-S Fuzzy System |
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