A Deep-learned Type-3 Fuzzy System and Its Application in Modeling Problems Article Swipe
Man‐Wen Tian
,
Ardashir Mohammadzadeh
,
Jafar Tavoosi
,
Saleh Mobayen
,
Jihad Asad
,
Oscar Castillo
,
Annamária R. Várkonyi-Kóczy
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.12700/aph.19.2.2022.2.9
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.12700/aph.19.2.2022.2.9
The modeling problem is one of the important topics in engineering applications.In various applications, it is required to find a mathematical model to represent the relationship between output and the associated input variables.In this study, an approach on basis of a new deep learned type-3 (T3) fuzzy logic system (FLS) is introduced.The modeling of CO2 solubility on basis of temperature, molality of NaCl, and pressure is considered as an application.The monitoring of carbon dioxide (CO2) solubility in brine is one of the effective approaches in carbon capture and sequestration technique to reduce it in the atmosphere.A new hybrid learning method is presented to optimize the suggested model.The new adaptation laws are carry-out to tune the rule parameters and centers of membership functions (MFs).The values of horizontal slices and αcuts are learned by the unscented Kalman filter (UKF).By the real-world experimental data sets, several statistical examinations, and comparison with conventional well-known fuzzy neural networks (NNs) and learning methods, the reliability and good performance of the suggested method are demonstrated.Also, the sensitivity of the input variables is analyzed by the use of the Sobol approach.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.12700/aph.19.2.2022.2.9
- https://doi.org/10.12700/aph.19.2.2022.2.9
- OA Status
- diamond
- Cited By
- 36
- References
- 37
- Related Works
- 10
- OpenAlex ID
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- OpenAlex ID
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https://openalex.org/W4210650098Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.12700/aph.19.2.2022.2.9Digital Object Identifier
- Title
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A Deep-learned Type-3 Fuzzy System and Its Application in Modeling ProblemsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
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Man‐Wen Tian, Ardashir Mohammadzadeh, Jafar Tavoosi, Saleh Mobayen, Jihad Asad, Oscar Castillo, Annamária R. Várkonyi-KóczyList of authors in order
- Landing page
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https://doi.org/10.12700/aph.19.2.2022.2.9Publisher landing page
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https://doi.org/10.12700/aph.19.2.2022.2.9Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://doi.org/10.12700/aph.19.2.2022.2.9Direct OA link when available
- Concepts
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Computer science, Type (biology), Fuzzy logic, Artificial intelligence, Neuro-fuzzy, Data mining, Fuzzy control system, Geology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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36Total citation count in OpenAlex
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2025: 5, 2024: 9, 2023: 14, 2022: 8Per-year citation counts (last 5 years)
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W1966037722, https://openalex.org/W2086982885, https://openalex.org/W2081650565, https://openalex.org/W2002343680, https://openalex.org/W2914915312, https://openalex.org/W2006853934, https://openalex.org/W2326635080, https://openalex.org/W2076317158, https://openalex.org/W2978742196, https://openalex.org/W2941713130, https://openalex.org/W2916615466, https://openalex.org/W2572312123, https://openalex.org/W2589017943, https://openalex.org/W2608786281, https://openalex.org/W2913844895, https://openalex.org/W2761070461, https://openalex.org/W2623734641, https://openalex.org/W3042341815, https://openalex.org/W2969537986, https://openalex.org/W2989602844, https://openalex.org/W3012535268, https://openalex.org/W3035786121, https://openalex.org/W2967055760, https://openalex.org/W2896894491, https://openalex.org/W2947199145, https://openalex.org/W2906716490, https://openalex.org/W2959624881, https://openalex.org/W2993177448, https://openalex.org/W2958649520, https://openalex.org/W3042377554, https://openalex.org/W3118423078, https://openalex.org/W3169061343, https://openalex.org/W3167846872, https://openalex.org/W4237537547, https://openalex.org/W3123291924, https://openalex.org/W2936436003, https://openalex.org/W2188221562 |
| referenced_works_count | 37 |
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