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PSO-Based Adaptive Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (PSO-AHIT2FKRS) for Travel Route Guidance
2020
IEEE transactions on intelligent transportation systems (Print)
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The present research work suggests an innovative advanced vehicle guidance system based on Hierarchical Interval Type-2 Fuzzy Logic model optimized by the Particle Swarm Optimization (PSO) method. ...
The simulation results proved the effectiveness of learning the Hierarchical Interval Type-2 Fuzzy Logic model using PSO real time technique to accomplish multi-objective optimality regarding two criteria ...
Type-2 Fuzzy Knowledge Representation System (PSO based AHIT2FKRS) for travel route guidance. ...
doi:10.1109/tits.2020.3016054
fatcat:pheeyefndrc2rmy6gda2wqfjom
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2022
IEEE transactions on intelligent transportation systems (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The authors take into account the integration of blockchain and federated learning in vehicular networks as a direction for future research. ...
PSO-Based Adaptive Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (PSO-AHIT2FKRS) for Travel Route Guidance M. Zouari, N. Baklouti, J. Sanchez-Medina, H. M. Kammoun, M. B. ...
Alimi This article describes the application of PSO as optimization methods to instantly tune the MFs of the author's Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (HIT2FKRS) model ...
doi:10.1109/tits.2022.3141513
fatcat:gvywr655cvgolg7rfjrqmt33b4