Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system
This work presents a novel approach for dynamically optimizing the alpha–beta filter parameters through the Mamdani fuzzy inference system (MFIS) for industrial applications to estimate the state of dynamic systems based on sensor measurements. Our proposed method has two important components: the p...
Gespeichert in:
| Veröffentlicht in: | Alexandria engineering journal Jg. 119; S. 598 - 608 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.04.2025
Elsevier |
| Schlagworte: | |
| ISSN: | 1110-0168 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | This work presents a novel approach for dynamically optimizing the alpha–beta filter parameters through the Mamdani fuzzy inference system (MFIS) for industrial applications to estimate the state of dynamic systems based on sensor measurements. Our proposed method has two important components: the primary predictor utilizing the alpha–beta algorithm, and a rule-based mechanism leveraging the Mamdani fuzzy inference system. To illustrate our approach and simplify the demonstration, we selected two types of sensors: temperature and humidity. The model efficiently processes input from these sensors, refining the sensor data to filter out noise and improve prediction accuracy. The integration of MFIS significantly improves the system’s performance, significantly reducing the root mean square error (RMSE) and mean absolute error (MAE), which are critical indicators of predictive accuracy. To validate the effectiveness and robustness of our method, we executed an extensive set of experiments , which affirm the superior performance of our model.
•Integrates Mamdani fuzzy inference with the alpha-beta filter for better estimation.•Improves accuracy in sensors, reducing RMSE and MAE in dynamic state estimation.•Extensive experiments confirm superior performance for industrial applications.•Future work explores robotics, surveillance, and autonomous navigation enhancements. |
|---|---|
| AbstractList | This work presents a novel approach for dynamically optimizing the alpha–beta filter parameters through the Mamdani fuzzy inference system (MFIS) for industrial applications to estimate the state of dynamic systems based on sensor measurements. Our proposed method has two important components: the primary predictor utilizing the alpha–beta algorithm, and a rule-based mechanism leveraging the Mamdani fuzzy inference system. To illustrate our approach and simplify the demonstration, we selected two types of sensors: temperature and humidity. The model efficiently processes input from these sensors, refining the sensor data to filter out noise and improve prediction accuracy. The integration of MFIS significantly improves the system’s performance, significantly reducing the root mean square error (RMSE) and mean absolute error (MAE), which are critical indicators of predictive accuracy. To validate the effectiveness and robustness of our method, we executed an extensive set of experiments , which affirm the superior performance of our model. This work presents a novel approach for dynamically optimizing the alpha–beta filter parameters through the Mamdani fuzzy inference system (MFIS) for industrial applications to estimate the state of dynamic systems based on sensor measurements. Our proposed method has two important components: the primary predictor utilizing the alpha–beta algorithm, and a rule-based mechanism leveraging the Mamdani fuzzy inference system. To illustrate our approach and simplify the demonstration, we selected two types of sensors: temperature and humidity. The model efficiently processes input from these sensors, refining the sensor data to filter out noise and improve prediction accuracy. The integration of MFIS significantly improves the system’s performance, significantly reducing the root mean square error (RMSE) and mean absolute error (MAE), which are critical indicators of predictive accuracy. To validate the effectiveness and robustness of our method, we executed an extensive set of experiments , which affirm the superior performance of our model. •Integrates Mamdani fuzzy inference with the alpha-beta filter for better estimation.•Improves accuracy in sensors, reducing RMSE and MAE in dynamic state estimation.•Extensive experiments confirm superior performance for industrial applications.•Future work explores robotics, surveillance, and autonomous navigation enhancements. |
| Author | Khan, Junaid Lee, Eunkyu Bilal, Muhammad Fayaz, Muhammad Zaman, Umar Balobaid, Awatef Salim Kim, Kyungsup |
| Author_xml | – sequence: 1 givenname: Junaid orcidid: 0000-0002-2393-3132 surname: Khan fullname: Khan, Junaid email: junaid1.khan@samsung.com organization: Department of Environmental IT Engineering, Chungnam National University, Daejeon, 34134, South Korea – sequence: 2 givenname: Muhammad surname: Fayaz fullname: Fayaz, Muhammad email: muhammad.fayaz@ucentralasia.org organization: Department of Computer Science, University of Central Asia, Naryn, Kyrgyzstan – sequence: 3 givenname: Umar orcidid: 0000-0002-4257-4868 surname: Zaman fullname: Zaman, Umar email: umarzaman@o.cnu.ac.kr organization: Department of Artificial Intelligence, Chungnam National University, Daejeon, 34134, South Korea – sequence: 4 givenname: Eunkyu surname: Lee fullname: Lee, Eunkyu email: eunkyu87.lee@samsung.com organization: Autonomous Ship Research Center, Samsung Heavy Industries, Daejeon, 34051, South Korea – sequence: 5 givenname: Awatef Salim surname: Balobaid fullname: Balobaid, Awatef Salim email: asbalobaid@jazanu.edu.sa organization: Department of Computer Science, College of Computer Science and Information Technology, Jazan University, Jazan 45142, Saudi Arabia – sequence: 6 givenname: Muhammad surname: Bilal fullname: Bilal, Muhammad email: m.bilal@ieee.org organization: School of Computing and Communications, Lancaster University, Lancaster, LA1 4WA, United Kingdom – sequence: 7 givenname: Kyungsup orcidid: 0000-0002-0166-1439 surname: Kim fullname: Kim, Kyungsup email: sclkim@cnu.ac.kr organization: Department of Computer Engineering, Chungnam National University, Daejeon, 34134, South Korea |
| BookMark | eNp9kUtqHDEQhnvhQBzHB8hOF5iO1G-RVTB5GBy8SdaiVCrZ1fR0N5ImMLPyHXLDnCRqT8giCwuBQKrvQ_z_m-JiXmYqindKlkqq7v1YAo1lJau2lKpUqrsoLpVScpcfh9fFdYyjzKvtdaO7y-Lpfk285xPPDwKm9RF-P_2ylEB4nhIF4ZcgaH6EGcmJNZBjTLzMUQDiIQAeBc95u0NMgWESsK4TI5xnDnHTfoO9g5mFP5xO27inQFkn4jEm2r8tXnmYIl3_Pa-KH58_fb_5uru7_3J78_Fuh43s0m5QlfO2QVVrsr2tLFaKBoe6HnyPXe2lR4-67zS62jey9VZXjQVZW-mVtvVVcXv2ugVGswbeQziaBdg8XyzhwUBIjBOZbhg8ghx055pG-xZ07SpSVGnXtR6a7FJnF4YlxkD-n09Js7VgRpNbMFsLRiqTW8hM_x-DnJ5zSgF4epH8cCYpx_OTKZiIvCXoOBCm_H9-gf4DXV-q5Q |
| CitedBy_id | crossref_primary_10_1016_j_vehcom_2025_100934 |
| Cites_doi | 10.1016/j.knosys.2023.110291 10.1109/JSTSP.2023.3262443 10.3390/app12199429 10.1109/TAES.1987.310893 10.3390/pr6080103 10.1109/3477.623242 10.1007/s11831-022-09815-7 10.1109/TSG.2014.2387169 10.1162/neco.1995.7.5.867 10.1109/ACCESS.2021.3073876 10.3390/s19183946 10.1016/j.geoderma.2016.09.027 10.1109/JSYST.2020.2990409 10.1016/j.cageo.2011.04.012 10.3390/s23042107 10.1109/TFUZZ.2022.3165690 10.1016/j.future.2022.12.039 10.1109/ACCESS.2019.2915381 10.3390/electronics8020132 |
| ContentType | Journal Article |
| Copyright | 2025 The Authors |
| Copyright_xml | – notice: 2025 The Authors |
| DBID | 6I. AAFTH AAYXX CITATION DOA |
| DOI | 10.1016/j.aej.2025.01.116 |
| DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EndPage | 608 |
| ExternalDocumentID | oai_doaj_org_article_688fca0896d449f5a93d2e1e29d65fa4 10_1016_j_aej_2025_01_116 S1110016825001437 |
| GroupedDBID | --K 0R~ 4.4 457 5VS 6I. AACTN AAEDT AAEDW AAFTH AAIKJ AALRI AAXUO ABMAC ACGFS ADBBV ADEZE ADVLN AEXQZ AFJKZ AFTJW AGHFR AITUG AKRWK ALMA_UNASSIGNED_HOLDINGS AMRAJ BCNDV EBS EJD FDB GROUPED_DOAJ HZ~ IPNFZ IXB KQ8 M41 O-L O9- OK1 P2P RIG ROL SES SSZ XH2 AAYWO AAYXX ACVFH ADCNI AEUPX AFPUW AIGII AKBMS AKYEP CITATION |
| ID | FETCH-LOGICAL-c406t-812dfb4c139eb7b2bc21e8dc938f7c63f0fcfc9769cd3f405fb924ba03b0f19b3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 1 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001425750000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1110-0168 |
| IngestDate | Fri Oct 03 12:39:59 EDT 2025 Tue Nov 18 21:22:30 EST 2025 Thu Nov 13 04:34:22 EST 2025 Sat May 03 15:55:31 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Fuzzy system Algorithms Dynamic system Rule based system Industrial applications Alpha–beta filter Mamdani fuzzy inference system |
| Language | English |
| License | This is an open access article under the CC BY-NC-ND license. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c406t-812dfb4c139eb7b2bc21e8dc938f7c63f0fcfc9769cd3f405fb924ba03b0f19b3 |
| ORCID | 0000-0002-2393-3132 0000-0002-0166-1439 0000-0002-4257-4868 |
| OpenAccessLink | https://doaj.org/article/688fca0896d449f5a93d2e1e29d65fa4 |
| PageCount | 11 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_688fca0896d449f5a93d2e1e29d65fa4 crossref_primary_10_1016_j_aej_2025_01_116 crossref_citationtrail_10_1016_j_aej_2025_01_116 elsevier_sciencedirect_doi_10_1016_j_aej_2025_01_116 |
| PublicationCentury | 2000 |
| PublicationDate | April 2025 2025-04-00 2025-04-01 |
| PublicationDateYYYYMMDD | 2025-04-01 |
| PublicationDate_xml | – month: 04 year: 2025 text: April 2025 |
| PublicationDecade | 2020 |
| PublicationTitle | Alexandria engineering journal |
| PublicationYear | 2025 |
| Publisher | Elsevier B.V Elsevier |
| Publisher_xml | – name: Elsevier B.V – name: Elsevier |
| References | Khan, Fayaz, Hussain, Khalid, Mashwani, Gwak (b5) 2021; 9 Karimipour, Dinavahi (b24) 2015; 6 Khan, Kim (b31) 2022; vol. 13 Huang, McBratney, Minasny, Triantafilis (b23) 2017; 285 Rane (b1) 2023 Jacobs (b27) 1995; 7 Yang, Wu, Zhang (b4) 2023; 263 Zhao, Cao, Dian (b16) 2022; 30 Zhang, Ni, Zhang, Zhang, Zhang (b34) 2023; 142 Wang, Sheng, Zhang, Yang, Shen, Chen (b2) 2023 Vinaykumar, Jatoth (b18) 2014 Jamil, Kim (b20) 2019; 19 Luo, Yu, You, Li, Zhou, Jiao, Qiao (b32) 2023; 1 Zadeh (b9) 2023 Liu, Tang, Amini, Yang, Mao, Rus, Han (b10) 2023 Akgun, Sezer, Nefeslioglu, Gokceoglu, Pradhan (b35) 2012; 38 Khan, Lee, Kim (b6) 2022 Fayaz, Ullah, Kim (b12) 2018; 6 Jaouhari, El Bhilat, Arif (b17) 2023; 40 Dostal, Mokris (b21) 2003; 12 Turimov Mustapoevich, Muhamediyeva Tulkunovna, Safarova Ulmasovna, Primova, Kim (b33) 2023; 23 Munu, Harrison, Woolfson (b29) 1992 Fayaz, Ullah, Kim (b13) 2019; 8 Rogers (b19) 1987; 4 Li (b14) 1997; 27 Khan, Lee, Kim (b25) 2023 Ibarra-Bonilla, Escamilla-Ambrosio, Ramirez-Cortes (b28) 2015; 29 Tripathy, Ala (b15) 2018; 99 Li (b22) 2019; 7 Khan, Kim (b7) 2022; 12 Khodarahmi, Maihami (b8) 2023; 30 Vouras, Mishra, Artusio-Glimpse, Pinilla, Xenaki, Griffith, Egiazarian (b3) 2023 Havlík, Straka (b30) 2015; Vol. 659 Kabir, Wagner, Ellerby (b11) 2023 Yan, Dai, Pu, Zhou, Liu, Bao (b26) 2020; 15 Jamil (10.1016/j.aej.2025.01.116_b20) 2019; 19 Luo (10.1016/j.aej.2025.01.116_b32) 2023; 1 Yang (10.1016/j.aej.2025.01.116_b4) 2023; 263 Havlík (10.1016/j.aej.2025.01.116_b30) 2015; Vol. 659 Fayaz (10.1016/j.aej.2025.01.116_b13) 2019; 8 Jaouhari (10.1016/j.aej.2025.01.116_b17) 2023; 40 Ibarra-Bonilla (10.1016/j.aej.2025.01.116_b28) 2015; 29 Huang (10.1016/j.aej.2025.01.116_b23) 2017; 285 Khan (10.1016/j.aej.2025.01.116_b31) 2022; vol. 13 Khan (10.1016/j.aej.2025.01.116_b25) 2023 Wang (10.1016/j.aej.2025.01.116_b2) 2023 Khodarahmi (10.1016/j.aej.2025.01.116_b8) 2023; 30 Yan (10.1016/j.aej.2025.01.116_b26) 2020; 15 Munu (10.1016/j.aej.2025.01.116_b29) 1992 Khan (10.1016/j.aej.2025.01.116_b5) 2021; 9 Liu (10.1016/j.aej.2025.01.116_b10) 2023 Zhao (10.1016/j.aej.2025.01.116_b16) 2022; 30 Karimipour (10.1016/j.aej.2025.01.116_b24) 2015; 6 Dostal (10.1016/j.aej.2025.01.116_b21) 2003; 12 Zhang (10.1016/j.aej.2025.01.116_b34) 2023; 142 Khan (10.1016/j.aej.2025.01.116_b7) 2022; 12 Tripathy (10.1016/j.aej.2025.01.116_b15) 2018; 99 Zadeh (10.1016/j.aej.2025.01.116_b9) 2023 Khan (10.1016/j.aej.2025.01.116_b6) 2022 Turimov Mustapoevich (10.1016/j.aej.2025.01.116_b33) 2023; 23 Li (10.1016/j.aej.2025.01.116_b14) 1997; 27 Akgun (10.1016/j.aej.2025.01.116_b35) 2012; 38 Rogers (10.1016/j.aej.2025.01.116_b19) 1987; 4 Li (10.1016/j.aej.2025.01.116_b22) 2019; 7 Jacobs (10.1016/j.aej.2025.01.116_b27) 1995; 7 Rane (10.1016/j.aej.2025.01.116_b1) 2023 Kabir (10.1016/j.aej.2025.01.116_b11) 2023 Fayaz (10.1016/j.aej.2025.01.116_b12) 2018; 6 Vinaykumar (10.1016/j.aej.2025.01.116_b18) 2014 Vouras (10.1016/j.aej.2025.01.116_b3) 2023 |
| References_xml | – volume: vol. 13 start-page: 18 year: 2022 end-page: 21 ident: b31 article-title: A performance evaluation of the alpha-beta filter algorithm with different learning modules ANN, DELM, CART and SVM publication-title: International Conference on Future Information & Communication Engineering – volume: 7 start-page: 867 year: 1995 end-page: 888 ident: b27 article-title: Methods for combining experts’ probability assessments publication-title: Neural Comput. – volume: 142 start-page: 131 year: 2023 end-page: 149 ident: b34 article-title: New method of vehicle cooperative communication based on fuzzy logic and signaling game strategy publication-title: Future Gener. Comput. Syst. – start-page: 2774 year: 2023 end-page: 2781 ident: b10 article-title: Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation publication-title: 2023 IEEE International Conference on Robotics and Automation – start-page: 1369 year: 2014 end-page: 1373 ident: b18 article-title: Performance evaluation of alpha-beta and Kalman filter for object tracking publication-title: 2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies – year: 2023 ident: b2 article-title: Blockchain-empowered distributed multi-camera multi-target tracking in edge computing publication-title: IEEE Trans. Ind. Inform. – year: 2023 ident: b3 article-title: An overview of advances in signal processing techniques for classical and quantum wideband synthetic apertures publication-title: IEEE J. Sel. Top. Signal Process. – volume: 29 start-page: 479 year: 2015 end-page: 488 ident: b28 article-title: Attitude estimation using a neuro-fuzzy tuning based adaptive Kalman filter publication-title: J. Intell. Fuzzy Systems – year: 2022 ident: b6 article-title: A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network publication-title: CAAI Trans. Intell. Technol. – volume: 6 start-page: 103 year: 2018 ident: b12 article-title: Underground risk index assessment and prediction using a simplified hierarchical fuzzy logic model and Kalman filter publication-title: Process. – volume: 30 start-page: 727 year: 2023 end-page: 747 ident: b8 article-title: A review on Kalman filter models publication-title: Arch. Comput. Methods Eng. – start-page: 19 year: 2023 end-page: 49 ident: b9 article-title: Fuzzy logic publication-title: Granular, Fuzzy, and Soft Computing – volume: 99 start-page: 157 year: 2018 end-page: 163 ident: b15 article-title: Risk assessment in underground coalmines using fuzzy logic in the presence of uncertainty publication-title: J. Inst. Eng. (India): Ser. D – volume: 8 start-page: 132 year: 2019 ident: b13 article-title: An optimized fuzzy logic control model based on a strategy for the learning of membership functions in an indoor environment publication-title: Electron. – volume: 12 start-page: 9429 year: 2022 ident: b7 article-title: A performance evaluation of the alpha-beta ( publication-title: Appl. Sci. – volume: 38 start-page: 23 year: 2012 end-page: 34 ident: b35 article-title: An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm publication-title: Comput. Geosci. – year: 2023 ident: b1 article-title: Transformers in industry 4.0, industry 5.0, and society 5.0: Roles and challenges – year: 2023 ident: b11 article-title: Towards handling uncertainty-at-source in ai–a review and next steps for interval regression publication-title: IEEE Trans. Artif. Intell. – volume: 285 start-page: 76 year: 2017 end-page: 93 ident: b23 article-title: Monitoring and modelling soil water dynamics using electromagnetic conductivity imaging and the ensemble Kalman filter publication-title: Geoderma – start-page: 196 year: 1992 end-page: 199 ident: b29 article-title: Comparison of the Kalman and alpha beta filters for the tracking of targets using phased array radar publication-title: 92 International Conference on Radar – start-page: 2187 year: 2023 end-page: 2192 ident: b25 article-title: Optimizing the performance of Kalman filter and alpha-beta filter algorithms through neural network publication-title: 2023 9th International Conference on Control, Decision and Information Technologies – volume: 4 start-page: 592 year: 1987 end-page: 594 ident: b19 article-title: Alpha-beta filter with correlated measurement noise publication-title: IEEE Trans. Aerosp. Electron. Syst. – volume: 7 start-page: 60299 year: 2019 end-page: 60309 ident: b22 article-title: Innovative target tracking method combined adaptive publication-title: IEEE Access – volume: 19 start-page: 3946 year: 2019 ident: b20 article-title: Improving accuracy of the alpha–beta filter algorithm using an ANN-based learning mechanism in indoor navigation system publication-title: Sensors – volume: 263 year: 2023 ident: b4 article-title: A dynamic balanced quadtree for real-time streaming data publication-title: Knowl.-Based Syst. – volume: 6 start-page: 1539 year: 2015 end-page: 1549 ident: b24 article-title: Extended Kalman filter-based parallel dynamic state estimation publication-title: IEEE Trans. Smart Grid – volume: 9 start-page: 61548 year: 2021 end-page: 61564 ident: b5 article-title: An improved alpha beta filter using a deep extreme learning machine publication-title: IEEE Access – volume: 30 start-page: 5104 year: 2022 end-page: 5115 ident: b16 article-title: A self-organized method for a hierarchical fuzzy logic system based on a fuzzy autoencoder publication-title: IEEE Trans. Fuzzy Syst. – volume: 12 start-page: 56 year: 2003 end-page: 59 ident: b21 article-title: Exploitation of higher order moments increase the tracking aircraft by the extended alpha-beta filter publication-title: Radioeng.- Prague – volume: 1 start-page: 2 year: 2023 end-page: 11 ident: b32 article-title: Fuzzy logic and neural network-based risk assessment model for import and export enterprises: A review publication-title: J. Data Sci. Intell. Syst. – volume: 40 start-page: 87 year: 2023 end-page: 101 ident: b17 article-title: Scrutinizing IoT applicability in green warehouse inventory management system based on Mamdani fuzzy inference system: a case study of an automotive semiconductors industrial firm publication-title: J. Ind. Prod. Eng. – volume: 23 start-page: 2107 year: 2023 ident: b33 article-title: Improved cattle disease diagnosis based on fuzzy logic algorithms publication-title: Sensors – volume: 27 start-page: 884 year: 1997 end-page: 889 ident: b14 article-title: A comparative design and tuning for conventional fuzzy control publication-title: IEEE Trans. Syst. Man Cybern. B – volume: 15 start-page: 771 year: 2020 end-page: 779 ident: b26 article-title: Quality of service constrained-resource allocation scheme for multiple target tracking in radar sensor network publication-title: IEEE Syst. J. – volume: Vol. 659 year: 2015 ident: b30 article-title: Performance evaluation of iterated extended Kalman filter with variable step-length publication-title: Journal of Physics: Conference Series – volume: 263 year: 2023 ident: 10.1016/j.aej.2025.01.116_b4 article-title: A dynamic balanced quadtree for real-time streaming data publication-title: Knowl.-Based Syst. doi: 10.1016/j.knosys.2023.110291 – year: 2023 ident: 10.1016/j.aej.2025.01.116_b3 article-title: An overview of advances in signal processing techniques for classical and quantum wideband synthetic apertures publication-title: IEEE J. Sel. Top. Signal Process. doi: 10.1109/JSTSP.2023.3262443 – volume: 12 start-page: 9429 issue: 19 year: 2022 ident: 10.1016/j.aej.2025.01.116_b7 article-title: A performance evaluation of the alpha-beta (α-β) filter algorithm with different learning models: DBN, DELM, SVM publication-title: Appl. Sci. doi: 10.3390/app12199429 – volume: 99 start-page: 157 year: 2018 ident: 10.1016/j.aej.2025.01.116_b15 article-title: Risk assessment in underground coalmines using fuzzy logic in the presence of uncertainty publication-title: J. Inst. Eng. (India): Ser. D – volume: 40 start-page: 87 issue: 2 year: 2023 ident: 10.1016/j.aej.2025.01.116_b17 article-title: Scrutinizing IoT applicability in green warehouse inventory management system based on Mamdani fuzzy inference system: a case study of an automotive semiconductors industrial firm publication-title: J. Ind. Prod. Eng. – start-page: 2774 year: 2023 ident: 10.1016/j.aej.2025.01.116_b10 article-title: Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation – volume: 4 start-page: 592 year: 1987 ident: 10.1016/j.aej.2025.01.116_b19 article-title: Alpha-beta filter with correlated measurement noise publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/TAES.1987.310893 – volume: 6 start-page: 103 issue: 8 year: 2018 ident: 10.1016/j.aej.2025.01.116_b12 article-title: Underground risk index assessment and prediction using a simplified hierarchical fuzzy logic model and Kalman filter publication-title: Process. doi: 10.3390/pr6080103 – start-page: 196 year: 1992 ident: 10.1016/j.aej.2025.01.116_b29 article-title: Comparison of the Kalman and alpha beta filters for the tracking of targets using phased array radar – start-page: 19 year: 2023 ident: 10.1016/j.aej.2025.01.116_b9 article-title: Fuzzy logic – volume: 27 start-page: 884 issue: 5 year: 1997 ident: 10.1016/j.aej.2025.01.116_b14 article-title: A comparative design and tuning for conventional fuzzy control publication-title: IEEE Trans. Syst. Man Cybern. B doi: 10.1109/3477.623242 – volume: 30 start-page: 727 issue: 1 year: 2023 ident: 10.1016/j.aej.2025.01.116_b8 article-title: A review on Kalman filter models publication-title: Arch. Comput. Methods Eng. doi: 10.1007/s11831-022-09815-7 – volume: 6 start-page: 1539 issue: 3 year: 2015 ident: 10.1016/j.aej.2025.01.116_b24 article-title: Extended Kalman filter-based parallel dynamic state estimation publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2014.2387169 – year: 2022 ident: 10.1016/j.aej.2025.01.116_b6 article-title: A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network publication-title: CAAI Trans. Intell. Technol. – volume: 7 start-page: 867 issue: 5 year: 1995 ident: 10.1016/j.aej.2025.01.116_b27 article-title: Methods for combining experts’ probability assessments publication-title: Neural Comput. doi: 10.1162/neco.1995.7.5.867 – volume: 12 start-page: 56 issue: 3 year: 2003 ident: 10.1016/j.aej.2025.01.116_b21 article-title: Exploitation of higher order moments increase the tracking aircraft by the extended alpha-beta filter publication-title: Radioeng.- Prague – volume: 9 start-page: 61548 year: 2021 ident: 10.1016/j.aej.2025.01.116_b5 article-title: An improved alpha beta filter using a deep extreme learning machine publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3073876 – volume: 19 start-page: 3946 issue: 18 year: 2019 ident: 10.1016/j.aej.2025.01.116_b20 article-title: Improving accuracy of the alpha–beta filter algorithm using an ANN-based learning mechanism in indoor navigation system publication-title: Sensors doi: 10.3390/s19183946 – start-page: 1369 year: 2014 ident: 10.1016/j.aej.2025.01.116_b18 article-title: Performance evaluation of alpha-beta and Kalman filter for object tracking – volume: 285 start-page: 76 year: 2017 ident: 10.1016/j.aej.2025.01.116_b23 article-title: Monitoring and modelling soil water dynamics using electromagnetic conductivity imaging and the ensemble Kalman filter publication-title: Geoderma doi: 10.1016/j.geoderma.2016.09.027 – volume: 15 start-page: 771 issue: 1 year: 2020 ident: 10.1016/j.aej.2025.01.116_b26 article-title: Quality of service constrained-resource allocation scheme for multiple target tracking in radar sensor network publication-title: IEEE Syst. J. doi: 10.1109/JSYST.2020.2990409 – volume: 38 start-page: 23 issue: 1 year: 2012 ident: 10.1016/j.aej.2025.01.116_b35 article-title: An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm publication-title: Comput. Geosci. doi: 10.1016/j.cageo.2011.04.012 – volume: 23 start-page: 2107 issue: 4 year: 2023 ident: 10.1016/j.aej.2025.01.116_b33 article-title: Improved cattle disease diagnosis based on fuzzy logic algorithms publication-title: Sensors doi: 10.3390/s23042107 – year: 2023 ident: 10.1016/j.aej.2025.01.116_b11 article-title: Towards handling uncertainty-at-source in ai–a review and next steps for interval regression publication-title: IEEE Trans. Artif. Intell. – volume: 29 start-page: 479 issue: 2 year: 2015 ident: 10.1016/j.aej.2025.01.116_b28 article-title: Attitude estimation using a neuro-fuzzy tuning based adaptive Kalman filter publication-title: J. Intell. Fuzzy Systems – volume: 1 start-page: 2 issue: 1 year: 2023 ident: 10.1016/j.aej.2025.01.116_b32 article-title: Fuzzy logic and neural network-based risk assessment model for import and export enterprises: A review publication-title: J. Data Sci. Intell. Syst. – volume: 30 start-page: 5104 issue: 12 year: 2022 ident: 10.1016/j.aej.2025.01.116_b16 article-title: A self-organized method for a hierarchical fuzzy logic system based on a fuzzy autoencoder publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2022.3165690 – volume: Vol. 659 year: 2015 ident: 10.1016/j.aej.2025.01.116_b30 article-title: Performance evaluation of iterated extended Kalman filter with variable step-length – volume: vol. 13 start-page: 18 year: 2022 ident: 10.1016/j.aej.2025.01.116_b31 article-title: A performance evaluation of the alpha-beta filter algorithm with different learning modules ANN, DELM, CART and SVM – volume: 142 start-page: 131 year: 2023 ident: 10.1016/j.aej.2025.01.116_b34 article-title: New method of vehicle cooperative communication based on fuzzy logic and signaling game strategy publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2022.12.039 – volume: 7 start-page: 60299 year: 2019 ident: 10.1016/j.aej.2025.01.116_b22 article-title: Innovative target tracking method combined adaptive α-β filter with Robust BPNN publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2915381 – volume: 8 start-page: 132 issue: 2 year: 2019 ident: 10.1016/j.aej.2025.01.116_b13 article-title: An optimized fuzzy logic control model based on a strategy for the learning of membership functions in an indoor environment publication-title: Electron. doi: 10.3390/electronics8020132 – year: 2023 ident: 10.1016/j.aej.2025.01.116_b2 article-title: Blockchain-empowered distributed multi-camera multi-target tracking in edge computing publication-title: IEEE Trans. Ind. Inform. – year: 2023 ident: 10.1016/j.aej.2025.01.116_b1 – start-page: 2187 year: 2023 ident: 10.1016/j.aej.2025.01.116_b25 article-title: Optimizing the performance of Kalman filter and alpha-beta filter algorithms through neural network |
| SSID | ssj0000579496 |
| Score | 2.356069 |
| Snippet | This work presents a novel approach for dynamically optimizing the alpha–beta filter parameters through the Mamdani fuzzy inference system (MFIS) for... |
| SourceID | doaj crossref elsevier |
| SourceType | Open Website Enrichment Source Index Database Publisher |
| StartPage | 598 |
| SubjectTerms | Algorithms Alpha–beta filter Dynamic system Fuzzy system Industrial applications Mamdani fuzzy inference system Rule based system |
| Title | Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system |
| URI | https://dx.doi.org/10.1016/j.aej.2025.01.116 https://doaj.org/article/688fca0896d449f5a93d2e1e29d65fa4 |
| Volume | 119 |
| WOSCitedRecordID | wos001425750000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals issn: 1110-0168 databaseCode: DOA dateStart: 20100101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.doaj.org/ omitProxy: false ssIdentifier: ssj0000579496 providerName: Directory of Open Access Journals |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3BTtwwELUQ6oEeEG2pWKDIB06VIuLE69hHQEVcSjm0ErfIHnvaIAirZbdS98Q_8Id8ScdOgnJpuSBFkRJN7Mgz1pvRjN8wdjjFAsBUNpMlSLoJkVmlfSYlAsEbuCLY1GyiurjQV1fmctTqK9aEdfTA3cIdKa0RbK6N8lIanFpT-iKIUBivpmgTE2hemVEw1bF6k52l5ly0l2PlldJDSjMVd9lwTbFhkSg7Rex1PgKlxN0_wqYR3pxtsc3eUeTH3Q--Y2uhfc_ejugDP7CHb7Tfb5sVPfB0Zvbp4dGFheXYxBw4J3-Uh_ZXyvHz2TymZJKVcQuwnFv4w5uWrqF3Bx8ns3ksiP_Jv9pbb9uG43K1iuL96UDeEUBvsx9nX76fnmd9R4UMCLgXGaG5RyeB3L7gKlc4KETQHkypsQJVYo6ApDplwJdIvhw6is-czUuXozCu_MjW27s27DAuPCnBeuFh6qSSwmhLWCdRevSqkH7C8mFJa-jpxmPXi5t6qCu7rkkLddRCnQuKRNSEfX7-ZNZxbfxP-CTq6Vkw0mSnF2Q8dW889UvGM2Fy0HLdexydJ0FDNf-ee_c15t5jG3HIrgpon60v5svwib2B34vmfn6QzPkvEPv9IA |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimizing+alpha%E2%80%93beta+filter+for+enhanced+predictions+accuracy+in+industrial+applications+using+Mamdani+fuzzy+inference+system&rft.jtitle=Alexandria+engineering+journal&rft.au=Khan%2C+Junaid&rft.au=Fayaz%2C+Muhammad&rft.au=Zaman%2C+Umar&rft.au=Lee%2C+Eunkyu&rft.date=2025-04-01&rft.pub=Elsevier+B.V&rft.issn=1110-0168&rft.volume=119&rft.spage=598&rft.epage=608&rft_id=info:doi/10.1016%2Fj.aej.2025.01.116&rft.externalDocID=S1110016825001437 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1110-0168&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1110-0168&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1110-0168&client=summon |