Improved Type2-NPCM Fuzzy Clustering Algorithm Based on Adaptive Particle Swarm Optimization for Takagi–Sugeno Fuzzy Modeling Identification

In this paper, an improved Type2-NPCM clustering algorithm based on improved adaptive particle swarm optimization called Type2-NPCM-IAPSO is proposed. First, a new clustering algorithm called Type2-NPCM is proposed. The Type2-NPCM algorithm can solve the problems encountered by the algorithms FCM, G...

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Vydané v:International journal of fuzzy systems Ročník 22; číslo 6; s. 2011 - 2024
Hlavní autori: Houcine, Lassad, Bouzbida, Mohamed, Chaari, Abdelkader
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2020
Springer Nature B.V
Predmet:
Adaptive algorithms
Artificial Intelligence
Clustering
Computational Intelligence
Differential equations
Engineering
Fuzzy sets
Heuristic
Hydraulic equipment
Identification
Management Science
Memberships
Methods
Noise sensitivity
Nonlinear systems
Operations Research
Optimization algorithms
Particle swarm optimization
Type2-NPCM clustering algorithm
Takagi–Sugeno fuzzy modeling
Improved adaptive particle swarm optimization (IAPSO)
Fuzzy clustering
Type2-NPCM-IAPSO algorithm
NPCM algorithm
ISSN:1562-2479, 2199-3211
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Abstract In this paper, an improved Type2-NPCM clustering algorithm based on improved adaptive particle swarm optimization called Type2-NPCM-IAPSO is proposed. First, a new clustering algorithm called Type2-NPCM is proposed. The Type2-NPCM algorithm can solve the problems encountered by the algorithms FCM, G-K, PCM and NPCM (sensitivity to noise or aberrant points and local minimal sensitivity), etc. Second, we combined our Type2-NPCM algorithm with the improved adaptive particle swarm optimization IAPSO algorithm to ensure proper convergence to a local minimum of the objective function. The effectiveness of the proposed Type2-NPCM-IAPSO algorithm was tested on the electro-hydraulic system, convection system and other nonlinear systems described by differential equation.
AbstractList In this paper, an improved Type2-NPCM clustering algorithm based on improved adaptive particle swarm optimization called Type2-NPCM-IAPSO is proposed. First, a new clustering algorithm called Type2-NPCM is proposed. The Type2-NPCM algorithm can solve the problems encountered by the algorithms FCM, G-K, PCM and NPCM (sensitivity to noise or aberrant points and local minimal sensitivity), etc. Second, we combined our Type2-NPCM algorithm with the improved adaptive particle swarm optimization IAPSO algorithm to ensure proper convergence to a local minimum of the objective function. The effectiveness of the proposed Type2-NPCM-IAPSO algorithm was tested on the electro-hydraulic system, convection system and other nonlinear systems described by differential equation.
Author Chaari, Abdelkader
Houcine, Lassad
Bouzbida, Mohamed
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CitedBy_id crossref_primary_10_1007_s40815_021_01070_5
crossref_primary_10_1155_2022_4173886
crossref_primary_10_1155_2022_8578138
Cites_doi 10.1016/0165-0114(86)90010-2
10.1109/tfuzz.2018.2856184
10.1016/j.asoc.2010.01.006
10.1109/TFUZZ.2017.2648882
10.1016/S0165-0114(96)00384-3
10.1109/TFUZZ.1993.390281
10.1109/tsmcb.2002.1033180
10.1109/TEVC.2005.857610
10.1109/91.531779
10.1109/tfuzz.1993.390281
10.1007/978-94-011-4868-9
10.1016/s0165-0114(00)00079-8
10.1016/j.ins.2009.03.004
10.1016/j.engappai.2009.02.003
10.5897/sre11.1960
10.1142/s0218488518500332
10.1109/34.765656
10.1109/TSMC.1985.6313399
10.1109/91.811231
10.1109/tfuzz.2015.2446508
10.1109/91.728458
10.2991/ic3me-15.2015.259
10.1109/mci.2018.2881646
10.1109/FUZZY.1998.686240
10.1109/nafips.2001.944361
10.1109/CEC.2001.934374
10.1155/2017/2427309
10.1016/S1474-6670(17)39858-0
10.3182/20140824-6-ZA-1003.01553
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Taiwan Fuzzy Systems Association 2020.
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Issue 6
Keywords Type2-NPCM clustering algorithm
Takagi–Sugeno fuzzy modeling
Improved adaptive particle swarm optimization (IAPSO)
Fuzzy clustering
Type2-NPCM-IAPSO algorithm
NPCM algorithm
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References Singhal, Agarwal, Kumar (CR36) 2015; 01
Krishnapuram, Keller (CR14) 1996; 4
Sugeno, Yasukawa (CR5) 1993; 1
CR17
Babuska (CR22) 1998
Mendel, Wu (CR28) 2017; 25
Ahmed, Lassad, Abdelkader (CR6) 2012; 7
CR16
Karnik, Mendel (CR18) 1999; 7
CR15
Mendel (CR26) 2018
CR37
CR13
CR35
Takagi, Sugeno (CR23) 1985; 15
CR34
CR11
CR33
CR10
CR32
Rashedi, Nezamabadi, Saryazdi (CR19) 2009; 179
Sugeno, Kang (CR2) 1986; 18
Liang, Qin, Suganthan, Baskar (CR31) 2006; 10
Frigui, Krishnapuram (CR9) 1999; 21
Bidyadhar, Debashisha (CR39) 2011; 11
Chen, Xi, Zhang (CR3) 1998; 98
Lassad, Mohamed, Ahmed, Abdelkader (CR12) 2018; 26
CR8
Mendel, Hagras, Bustince, Herrera (CR27) 2016; 24
CR29
CR25
Sugeno, Yasukawa (CR21) 1993
CR24
Karnik, Mendel (CR38) 2001; 122
Abonyi, Babuska, Szeifert (CR7) 2002; 32
CR20
Kim, Park, Kim, Park (CR1) 1998; 6
Kennedy, Eberhart, Shi (CR30) 2001
Li, Zhou, Xiang, Li, An (CR4) 2009; 22
JM Mendel (881_CR26) 2018
T Ahmed (881_CR6) 2012; 7
H Lassad (881_CR12) 2018; 26
881_CR34
881_CR13
881_CR35
881_CR10
881_CR32
S Bidyadhar (881_CR39) 2011; 11
881_CR11
881_CR33
M Sugeno (881_CR2) 1986; 18
M Sugeno (881_CR5) 1993; 1
881_CR8
H Frigui (881_CR9) 1999; 21
R Babuska (881_CR22) 1998
881_CR29
881_CR25
J Abonyi (881_CR7) 2002; 32
P Singhal (881_CR36) 2015; 01
M Sugeno (881_CR21) 1993
JQ Chen (881_CR3) 1998; 98
J Kennedy (881_CR30) 2001
R Krishnapuram (881_CR14) 1996; 4
T Takagi (881_CR23) 1985; 15
NN Karnik (881_CR38) 2001; 122
881_CR24
E Kim (881_CR1) 1998; 6
881_CR20
C Li (881_CR4) 2009; 22
JJ Liang (881_CR31) 2006; 10
JM Mendel (881_CR28) 2017; 25
881_CR16
881_CR17
881_CR15
N Karnik (881_CR18) 1999; 7
881_CR37
E Rashedi (881_CR19) 2009; 179
JM Mendel (881_CR27) 2016; 24
References_xml – volume: 18
  start-page: 329
  year: 1986
  end-page: 346
  ident: CR2
  article-title: Fuzzy modeling and control of multilayer incinerator
  publication-title: Fuzzy Sets Syst.
  doi: 10.1016/0165-0114(86)90010-2
– year: 2018
  ident: CR26
  article-title: Comparing the performance potentials of interval and general type-2 rule-based fuzzy systems in terms of sculpting the state space
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/tfuzz.2018.2856184
– volume: 11
  start-page: 861
  issue: 1
  year: 2011
  end-page: 871
  ident: CR39
  article-title: A differential evolution based neural network approach to nonlinear identification
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2010.01.006
– volume: 25
  start-page: 725
  issue: 3
  year: 2017
  end-page: 727
  ident: CR28
  article-title: Critique of “A new look at type-2 fuzzy sets and type-2 fuzzy logic systems”
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/TFUZZ.2017.2648882
– volume: 98
  start-page: 319
  year: 1998
  end-page: 329
  ident: CR3
  article-title: A clustering algorithm for fuzzy model identification
  publication-title: Fuzzy Sets Syst.
  doi: 10.1016/S0165-0114(96)00384-3
– volume: 1
  start-page: 7
  issue: 1
  year: 1993
  end-page: 31
  ident: CR5
  article-title: A fuzzy-logic-based approach to qualitative modeling
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/TFUZZ.1993.390281
– ident: CR16
– ident: CR37
– volume: 32
  start-page: 612
  issue: 5
  year: 2002
  end-page: 621
  ident: CR7
  article-title: Modified gath-geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models
  publication-title: IEEE Trans. Syst. Man Cybern. Part B
  doi: 10.1109/tsmcb.2002.1033180
– ident: CR10
– ident: CR33
– volume: 10
  start-page: 281
  issue: 3
  year: 2006
  end-page: 295
  ident: CR31
  article-title: Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2005.857610
– ident: CR35
– ident: CR29
– year: 2001
  ident: CR30
  publication-title: Swarm intelligence
– ident: CR8
– volume: 4
  start-page: 385
  issue: 3
  year: 1996
  end-page: 393
  ident: CR14
  article-title: The possibilistic c-means algorithm: insights and recommendations
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/91.531779
– year: 1993
  ident: CR21
  article-title: A fuzzy-logic-based approach to qualitative modeling
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/tfuzz.1993.390281
– year: 1998
  ident: CR22
  publication-title: Fuzzy modeling for control
  doi: 10.1007/978-94-011-4868-9
– volume: 122
  start-page: 327
  issue: 2
  year: 2001
  end-page: 348
  ident: CR38
  article-title: Operations on type-2 fuzzy sets
  publication-title: Fuzzy Sets Syst.
  doi: 10.1016/s0165-0114(00)00079-8
– ident: CR25
– volume: 179
  start-page: 2232
  issue: 13
  year: 2009
  end-page: 2248
  ident: CR19
  article-title: GSA: a gravitational search algorithm
  publication-title: Inf. Sci.
  doi: 10.1016/j.ins.2009.03.004
– volume: 22
  start-page: 646
  year: 2009
  end-page: 653
  ident: CR4
  article-title: T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2009.02.003
– volume: 7
  start-page: 1415
  issue: 13
  year: 2012
  end-page: 1431
  ident: CR6
  article-title: Nonlinear system identification using clustering algorithm and particle swarm optimization
  publication-title: Sci. Res. Essays
  doi: 10.5897/sre11.1960
– volume: 26
  start-page: 717
  issue: 5
  year: 2018
  end-page: 739
  ident: CR12
  article-title: Improved adaptive particle swarm optimization for optimization functions and clustering fuzzy modeling system
  publication-title: Int. J. Uncertain. Fuzziness Knowl. Based Syst.
  doi: 10.1142/s0218488518500332
– ident: CR15
– volume: 21
  start-page: 450
  issue: 5
  year: 1999
  end-page: 465
  ident: CR9
  article-title: A robust competitive clustering algorithm with applications in computer vision
  publication-title: IEEE Trans. Pattern Anal. Mach. Intell. Comput.
  doi: 10.1109/34.765656
– ident: CR17
– ident: CR13
– volume: 15
  start-page: 116
  year: 1985
  end-page: 132
  ident: CR23
  article-title: Fuzzy identification of systems and its application to modelling and control
  publication-title: IEEE Trans. Syst. Man Cybern.
  doi: 10.1109/TSMC.1985.6313399
– ident: CR11
– volume: 7
  start-page: 643
  issue: 6
  year: 1999
  end-page: 658
  ident: CR18
  article-title: Type-2 fuzzy logic systems
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/91.811231
– volume: 24
  start-page: 249
  issue: 1
  year: 2016
  end-page: 250
  ident: CR27
  article-title: Comments on Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wide view on their relationship
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/tfuzz.2015.2446508
– ident: CR32
– volume: 01
  start-page: 101
  year: 2015
  end-page: 110
  ident: CR36
  article-title: Advanced adaptive particle swarm optimization based SVC controller for power system stability
  publication-title: Int. J. Intell. Syst. Appl.
– volume: 6
  start-page: 596
  issue: 4
  year: 1998
  end-page: 604
  ident: CR1
  article-title: A transformed input-domain approach to fuzzy modeling
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/91.728458
– ident: CR34
– ident: CR24
– ident: CR20
– ident: 881_CR37
  doi: 10.2991/ic3me-15.2015.259
– volume: 1
  start-page: 7
  issue: 1
  year: 1993
  ident: 881_CR5
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/TFUZZ.1993.390281
– volume: 11
  start-page: 861
  issue: 1
  year: 2011
  ident: 881_CR39
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2010.01.006
– volume-title: Swarm intelligence
  year: 2001
  ident: 881_CR30
– year: 2018
  ident: 881_CR26
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/tfuzz.2018.2856184
– volume-title: Fuzzy modeling for control
  year: 1998
  ident: 881_CR22
  doi: 10.1007/978-94-011-4868-9
– volume: 10
  start-page: 281
  issue: 3
  year: 2006
  ident: 881_CR31
  publication-title: IEEE Trans. Evol. Comput.
  doi: 10.1109/TEVC.2005.857610
– volume: 4
  start-page: 385
  issue: 3
  year: 1996
  ident: 881_CR14
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/91.531779
– ident: 881_CR16
– ident: 881_CR33
– volume: 21
  start-page: 450
  issue: 5
  year: 1999
  ident: 881_CR9
  publication-title: IEEE Trans. Pattern Anal. Mach. Intell. Comput.
  doi: 10.1109/34.765656
– year: 1993
  ident: 881_CR21
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/tfuzz.1993.390281
– ident: 881_CR10
– ident: 881_CR32
  doi: 10.1109/mci.2018.2881646
– ident: 881_CR17
  doi: 10.1109/FUZZY.1998.686240
– volume: 7
  start-page: 1415
  issue: 13
  year: 2012
  ident: 881_CR6
  publication-title: Sci. Res. Essays
  doi: 10.5897/sre11.1960
– volume: 01
  start-page: 101
  year: 2015
  ident: 881_CR36
  publication-title: Int. J. Intell. Syst. Appl.
– ident: 881_CR24
– volume: 18
  start-page: 329
  year: 1986
  ident: 881_CR2
  publication-title: Fuzzy Sets Syst.
  doi: 10.1016/0165-0114(86)90010-2
– volume: 122
  start-page: 327
  issue: 2
  year: 2001
  ident: 881_CR38
  publication-title: Fuzzy Sets Syst.
  doi: 10.1016/s0165-0114(00)00079-8
– volume: 6
  start-page: 596
  issue: 4
  year: 1998
  ident: 881_CR1
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/91.728458
– volume: 32
  start-page: 612
  issue: 5
  year: 2002
  ident: 881_CR7
  publication-title: IEEE Trans. Syst. Man Cybern. Part B
  doi: 10.1109/tsmcb.2002.1033180
– ident: 881_CR15
  doi: 10.1109/nafips.2001.944361
– ident: 881_CR20
  doi: 10.1109/CEC.2001.934374
– volume: 25
  start-page: 725
  issue: 3
  year: 2017
  ident: 881_CR28
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/TFUZZ.2017.2648882
– ident: 881_CR13
– volume: 15
  start-page: 116
  year: 1985
  ident: 881_CR23
  publication-title: IEEE Trans. Syst. Man Cybern.
  doi: 10.1109/TSMC.1985.6313399
– ident: 881_CR8
  doi: 10.1155/2017/2427309
– volume: 179
  start-page: 2232
  issue: 13
  year: 2009
  ident: 881_CR19
  publication-title: Inf. Sci.
  doi: 10.1016/j.ins.2009.03.004
– volume: 98
  start-page: 319
  year: 1998
  ident: 881_CR3
  publication-title: Fuzzy Sets Syst.
  doi: 10.1016/S0165-0114(96)00384-3
– ident: 881_CR11
– volume: 7
  start-page: 643
  issue: 6
  year: 1999
  ident: 881_CR18
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/91.811231
– ident: 881_CR35
  doi: 10.1016/S1474-6670(17)39858-0
– volume: 22
  start-page: 646
  year: 2009
  ident: 881_CR4
  publication-title: Eng. Appl. Artif. Intell.
  doi: 10.1016/j.engappai.2009.02.003
– volume: 26
  start-page: 717
  issue: 5
  year: 2018
  ident: 881_CR12
  publication-title: Int. J. Uncertain. Fuzziness Knowl. Based Syst.
  doi: 10.1142/s0218488518500332
– ident: 881_CR34
  doi: 10.3182/20140824-6-ZA-1003.01553
– ident: 881_CR29
– ident: 881_CR25
– volume: 24
  start-page: 249
  issue: 1
  year: 2016
  ident: 881_CR27
  publication-title: IEEE Trans. Fuzzy Syst.
  doi: 10.1109/tfuzz.2015.2446508
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Snippet In this paper, an improved Type2-NPCM clustering algorithm based on improved adaptive particle swarm optimization called Type2-NPCM-IAPSO is proposed. First, a...
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SubjectTerms Adaptive algorithms
Artificial Intelligence
Clustering
Computational Intelligence
Differential equations
Engineering
Fuzzy sets
Heuristic
Hydraulic equipment
Identification
Management Science
Memberships
Methods
Noise sensitivity
Nonlinear systems
Operations Research
Optimization algorithms
Particle swarm optimization
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Title Improved Type2-NPCM Fuzzy Clustering Algorithm Based on Adaptive Particle Swarm Optimization for Takagi–Sugeno Fuzzy Modeling Identification
URI https://link.springer.com/article/10.1007/s40815-020-00881-2
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