"Interval Type-2 Fuzzy Logic Control of Mobile Robots"
written by Nesrine Baklouti, Robert John, Adel M. Alimi,
published by Journal of Intelligent Learning Systems and Applications, Vol.4 No.4, 2012
has been cited by the following article(s):
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[2] Visual-Servoing Based Global Path Planning Using Interval Type-2 Fuzzy Logic Control
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[3] Design Interval Type-2 Fuzzy Like (PID) Controller for Trajectory Tracking of Mobile Robot
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[4] A comprehensive study for robot navigation techniques
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[5] A Study of TSK Inference Approaches for Control Problems
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[6] An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning
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[8] Prediction performance of compressive strength of cementitious materials containing rubber aggregates and filler using fuzzy logic method
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[9] Mobile Robot Controller Based on Fuzzy Logic System in Uneven Terrain
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[10] Circumventing the fuzzy type reduction for autonomous vehicle controller
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[11] Fuzzy Feature Selection Based On Interval Type-2 Fuzzy Sets
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[12] Indoor Mobile Robot Navigation in Unknown Environment Using Fuzzy Logic Based Behaviors
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[13] Type reduction techniques for two-dimensional interval type-2 fuzzy sets
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[14] A generalized type-2 fuzzy logic approach for dynamic parameter adaptation in bee colony optimization applied to fuzzy controller design
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[15] An adaptive type-2 fuzzy traffic engineering method for video surveillance systems over software defined networks
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[16] Evolutionary hierarchical fuzzy modeling of Interval Type-2 Beta Fuzzy Systems
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[17] Obstacle avoidance using wall-following strategy for indoor mobile robots
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[18] Interval Type-2 Beta Fuzzy Basis Functions: Some Properties and their First-Order Derivatives
Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on, 2015
[19] Formation Control For Wheeled Mobile Robots
R Meshram, S Surve - ijstr.org, 2014
[20] Interval Type-2 Fuzzy System for a safe autonomous robot navigation in uncertain environment
Computing Conference (CLEI), 2014 XL Latin American, 2014
[21] Convergence of knowledge, nature and computations: a review
Soft Computing, 2014
[22] The multi-objective hybridization of particle swarm optimization and fuzzy ant colony optimization
Journal of Intelligent & Fuzzy Systems, 2014
[23] Collaborative Learning using Fuzzy Logic (CLIFF): Part 1
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[24] Hybridization of fuzzy PSO and fuzzy ACO applied to TSP
2013