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Tufan Kumbasar
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2020 – today
- 2024
- [j37]Fatih Kendir
, Tufan Kumbasar
:
Design of 2DOF control system fused with artificial intelligence for power enhancement and mitigation of degradation in fuel cell systems. Expert Syst. Appl. 249: 123632 (2024) - [j36]Bingjie Zhang, Jian Wang
, Chao Zhang, Jie Yang, Tufan Kumbasar
, Wei Wu:
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. Neurocomputing 569: 127118 (2024) - [j35]Furkan Peker, Mert Alperen Beser, Ecem Isildar, Yavuz Terzioglu, Ahmet Can Erten, Tufan Kumbasar
, Onur Ferhanoglu
:
Towards capsule endoscope locomotion in large volumes: design, fuzzy modeling, and testing. Robotica 42(1): 203-224 (2024) - [c45]Yusuf Güven, Ata Köklü, Tufan Kumbasar:
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals. FUZZ 2024: 1-6 - [c44]Ata Köklü, Yusuf Güven, Tufan Kumbasar:
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals. FUZZ 2024: 1-7 - [i4]Ata Koklu, Yusuf Guven, Tufan Kumbasar:
Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning. CoRR abs/2404.12792 (2024) - [i3]Yusuf Guven, Ata Koklu, Tufan Kumbasar:
Zadeh's Type-2 Fuzzy Logic Systems: Precision and High-Quality Prediction Intervals. CoRR abs/2404.12800 (2024) - [i2]Ata Koklu, Yusuf Guven, Tufan Kumbasar:
Enhancing Interval Type-2 Fuzzy Logic Systems: Learning for Precision and Prediction Intervals. CoRR abs/2404.12802 (2024) - 2023
- [j34]Muharrem Ugur Yavas
, Tufan Kumbasar
, Nazim Kemal Ure:
Toward Learning Human-Like, Safe and Comfortable Car-Following Policies With a Novel Deep Reinforcement Learning Approach. IEEE Access 11: 16843-16854 (2023) - [j33]Fethi Candan
, Omer Faruk Dik, Tufan Kumbasar
, Mahdi Mahfouf, Lyudmila Mihaylova
:
Real-Time Interval Type-2 Fuzzy Control of an Unmanned Aerial Vehicle with Flexible Cable-Connected Payload. Algorithms 16(6): 273 (2023) - [j32]Kursad Metehan Gul
, Berk Kacar, Mohammad Aziziaghdam, Tufan Kumbasar
:
Designing practical fuzzy gain scheduling controllers for micromobility applications of permanent magnet synchronous machines. J. Syst. Control. Eng. 237(10): 1884-1897 (2023) - [j31]Aykut Beke
, Tufan Kumbasar
:
More Than Accuracy: A Composite Learning Framework for Interval Type-2 Fuzzy Logic Systems. IEEE Trans. Fuzzy Syst. 31(3): 734-744 (2023) - [j30]Muharrem Ugur Yavas
, Tufan Kumbasar
, Nazim Kemal Ure
:
A Real-World Reinforcement Learning Framework for Safe and Human-Like Tactical Decision-Making. IEEE Trans. Intell. Transp. Syst. 24(11): 11773-11784 (2023) - [c43]Batuhan Avci, Aykut Beke, Tufan Kumbasar
:
Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems. FUZZ 2023: 1-6 - [c42]Kursad Metehan Gul
, Berk Kacar, Mohammad Aziziaghdam, Tufan Kumbasar
:
Design and Implementation of a Novel Self-Tuning Single Input Fuzzy Controller for PMSM. FUZZ 2023: 1-6 - 2022
- [j29]Turcan Tuna, Aykut Beke, Tufan Kumbasar
:
Deep learning frameworks to learn prediction and simulation focused control system models. Appl. Intell. 52(1): 662-679 (2022) - [j28]Turcan Tuna, Aykut Beke, Tufan Kumbasar
:
Correction to: Deep learning frameworks to learn prediction and simulation focused control system models. Appl. Intell. 52(1): 680 (2022) - [j27]Cagri Guzay, Tufan Kumbasar
:
Aggressive maneuvering of a quadcopter via differential flatness-based fuzzy controllers: From tuning to experiments. Appl. Soft Comput. 126: 109223 (2022) - [j26]Abdollah Amirkhani
, Masoud Shirzadeh
, Tufan Kumbasar
, Behrooz Mashadi
:
A framework for designing cognitive trajectory controllers using genetically evolved interval type-2 fuzzy cognitive maps. Int. J. Intell. Syst. 37(1): 305-335 (2022) - [c41]Muharrem Ugur Yavas, Tufan Kumbasar
, Nazim Kemal Ure:
Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy. IV 2022: 1466-1472 - 2021
- [j25]Ahmet Sakalli
, Tufan Kumbasar
, Jerry M. Mendel
:
Towards Systematic Design of General Type-2 Fuzzy Logic Controllers: Analysis, Interpretation, and Tuning. IEEE Trans. Fuzzy Syst. 29(2): 226-239 (2021) - [j24]Ugur Bugra Etlik, Berk Korkmaz, Aykut Beke
, Tufan Kumbasar
:
A fuzzy logic-based autonomous car control system for the JavaScript Racer game. Trans. Inst. Meas. Control 43(5): 1028-1038 (2021) - [c40]Aykut Beke, Tufan Kumbasar
:
Capturing Uncertainty with Interval Fuzzy Logic Systems through Composite Deep Learning. FUZZ-IEEE 2021: 1-6 - [c39]Kutay Bölat
, Tufan Kumbasar
:
Integrating Interval Type-2 Fuzzy Sets into Deep Embedding Clustering to Cope with Uncertainty. FUZZ-IEEE 2021: 1-6 - [c38]Dorukhan Erdem, Tufan Kumbasar
:
Enhancing the Learning of Interval Type-2 Fuzzy Classifiers with Knowledge Distillation. FUZZ-IEEE 2021: 1-6 - 2020
- [j23]Dorukhan Erdem
, Aykut Beke, Tufan Kumbasar
:
A Deep Learning-Based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard Into MATLAB. IEEE Access 8: 84631-84641 (2020) - [j22]Ardashir Mohammadzadeh
, Tufan Kumbasar
:
A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation. Appl. Soft Comput. 91: 106241 (2020) - [j21]Jia-Jun Wang, Tufan Kumbasar
:
Optimal PID control of spatial inverted pendulum with big bang-big crunch optimization. IEEE CAA J. Autom. Sinica 7(3): 822-832 (2020) - [j20]Abdollah Amirkhani
, Masoud Shirzadeh
, Tufan Kumbasar
:
Interval Type-2 Fuzzy Cognitive Map-Based Flight Control System for Quadcopters. Int. J. Fuzzy Syst. 22(8): 2504-2520 (2020) - [j19]Majid Moradi Zirkohi
, Tufan Kumbasar
:
Adaptive backstepping controller design for MIMO cancer immunotherapy using Laguerre polynomials. J. Frankl. Inst. 357(8): 4664-4679 (2020) - [j18]Aykut Beke
, Tufan Kumbasar
:
Type-2 Fuzzy Logic-Based Linguistic Pursuing Strategy Design and Its Deployment to a Real-World Pursuit Evasion Game. IEEE Trans. Cybern. 50(1): 211-221 (2020) - [c37]M. Mandaci, Tufan Kumbasar:
Real-Time Leader-Follower Formation Control of Nano Quadcopters in the Framework of Ratio Control. ECC 2020: 1650-1655 - [c36]Kutay Bölat
, Tufan Kumbasar
:
Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers. FUZZ-IEEE 2020: 1-7 - [c35]Ahmet Sakalli, Tufan Kumbasar
, Jerry M. Mendel:
A Design Approach for General Type-2 Fuzzy Logic Controllers with an Online Scheduling Mechanism. FUZZ-IEEE 2020: 1-6 - [c34]Muharrem Ugur Yavas, Tufan Kumbasar
, Nazim Kemal Ure:
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward. IV 2020: 1156-1161 - [i1]Muharrem Ugur Yavas, N. Kemal Ure, Tufan Kumbasar:
A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward. CoRR abs/2009.11905 (2020)
2010 – 2019
- 2019
- [j17]Aykut Beke
, Tufan Kumbasar
:
Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks. Eng. Appl. Artif. Intell. 85: 372-384 (2019) - [j16]Jiajun Wang, Tufan Kumbasar
:
Parameter optimization of interval Type-2 fuzzy neural networks based on PSO and BBBC methods. IEEE CAA J. Autom. Sinica 6(1): 247-257 (2019) - [c33]Aykut Beke, Tufan Kumbasar
:
Interval Type-2 Fuzzy Systems as Deep Neural Network Activation Functions. EUSFLAT Conf. 2019 - [c32]Tufan Kumbasar
:
A New Insight on the Mappings of Type-2 Fuzzy Logic Systems. FUZZ-IEEE 2019: 1-6 - 2018
- [j15]Mukhtar Fatihu Hamza, Hwa Jen Yap
, Imtiaz Ahmed Choudhury
, Haruna Chiroma, Tufan Kumbasar
:
A survey on advancement of hybrid type 2 fuzzy sliding mode control. Neural Comput. Appl. 30(2): 331-353 (2018) - [j14]Jia-Jun Wang
, Tufan Kumbasar
:
Big Bang-Big Crunch optimized hierarchical sliding-mode control of X-Z inverted pendulum. Simul. Model. Pract. Theory 86: 25-35 (2018) - [j13]Andriy Sarabakha
, Changhong Fu
, Erdal Kayacan
, Tufan Kumbasar
:
Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment for UAVs. IEEE Trans. Ind. Electron. 65(6): 5069-5077 (2018) - [c31]Aykut Beke
, Tufan Kumbasar
:
Single Vs. Double Input Interval Type-2 Fuzzy PID Controllers: Which One is Better? FUZZ-IEEE 2018: 1-7 - [c30]Ahmet Sakalli, Aykut Beke
, Tufan Kumbasar
:
Analyzing the Control Surfaces of Type-1 and Interval Type-2 FLCs through an Experimental Study. FUZZ-IEEE 2018: 1-6 - [c29]Fethi Candan
, Aykut Beke
, Tufan Kumbasar
:
Design and Deployment of Fuzzy PID Controllers to the nano quadcopter Crazyflie 2.0. INISTA 2018: 1-6 - 2017
- [j12]Tufan Kumbasar
:
Introduction to Type-2 Fuzzy Logic Control: Theory and Applications, Jerry Mendel, Hani Hagras, Woei-Wan Tan, William W. Melek, Hao Ying. Wiley-IEEE Press (2014), ISBN: 978-1118278390. Fuzzy Sets Syst. 306: 169-170 (2017) - [j11]Tufan Kumbasar
:
Revisiting Karnik-Mendel Algorithms in the framework of Linear Fractional Programming. Int. J. Approx. Reason. 82: 1-21 (2017) - [j10]Tufan Kumbasar
, Ibrahim Eksin
, Müjde Güzelkaya
, Engin Yesil
:
An inverse controller design method for interval type-2 fuzzy models. Soft Comput. 21(10): 2665-2686 (2017) - [c28]Aykut Beke
, Tufan Kumbasar
:
Game of spheros: A real-world pursuit-evasion game with type-2 fuzzy logic. FUZZ-IEEE 2017: 1-6 - [c27]Atakan Sahin
, Tufan Kumbasar
:
Landing on the moon with type-2 fuzzy logic. FUZZ-IEEE 2017: 1-6 - [c26]Ahmet Sakalli, Tufan Kumbasar
:
On the design and gain analysis of IT2-FLC with a case study on an electric vehicle. FUZZ-IEEE 2017: 1-6 - [c25]Victor Milewski
, Aysenur Bilgin, Tufan Kumbasar:
A Fuzzy Logic Approach to Improve Phone Segmentation - A Case Study of the Dutch Language. IJCCI 2017: 64-72 - 2016
- [j9]Tufan Kumbasar
:
Robust Stability Analysis and Systematic Design of Single-Input Interval Type-2 Fuzzy Logic Controllers. IEEE Trans. Fuzzy Syst. 24(3): 675-694 (2016) - [c24]Atakan Sahin
, Efehan Atici, Tufan Kumbasar
:
Type-2 fuzzified flappy bird control system. FUZZ-IEEE 2016: 1578-1583 - [c23]Mohit Mehndiratta, Erdal Kayacan
, Tufan Kumbasar
:
Design and experimental validation of single input type-2 fuzzy PID controllers as applied to 3 DOF helicopter testbed. FUZZ-IEEE 2016: 1584-1591 - [c22]Ahmet Sakalli, Aykut Beke
, Tufan Kumbasar
:
Gradient Descent and Extended Kalman Filter based self-tuning Interval Type-2 Fuzzy PID controllers. FUZZ-IEEE 2016: 1592-1598 - 2015
- [j8]Mortaza Aliasghary, Ibrahim Eksin
, Müjde Güzelkaya
, Tufan Kumbasar
:
General derivation and analysis for input-output relations in interval type-2 fuzzy logic systems. Soft Comput. 19(5): 1283-1293 (2015) - [j7]Tufan Kumbasar
, Hani Hagras
:
A Self-Tuning zSlices-Based General Type-2 Fuzzy PI Controller. IEEE Trans. Fuzzy Syst. 23(4): 991-1013 (2015) - [c21]Tufan Kumbasar
:
Revisiting KM algorithms: A Linear Programming approach. FUZZ-IEEE 2015: 1-6 - [c20]Tufan Kumbasar
, Hani Hagras
:
A Gradient Descent based online tuning Mechanism for PI Type Single input Interval Type-2 fuzzy logic controllers. FUZZ-IEEE 2015: 1-6 - [c19]Atakan Sahin
, Tufan Kumbasar
, Engin Yesil
, M. Furkan Dodurka, Onur Karasakal, Sarven Siradag:
An Enhanced Fuzzy Linguistic Term Generation and Representation for time series forecasting. FUZZ-IEEE 2015: 1-8 - [c18]Ahmet Sakalli, Tufan Kumbasar
:
On the fundamental differences between the NT and the KM center of Sets Calculation Methods on the IT2-FLC performance. FUZZ-IEEE 2015: 1-8 - [c17]Arda Var, Tufan Kumbasar
, Engin Yesil
:
An Internal Model Control based design method for Single input Fuzzy PID controllers. FUZZ-IEEE 2015: 1-7 - [c16]Akin Ilker Savran, Aykut Beke
, Tufan Kumbasar
, Engin Yesil
:
An IMC based fuzzy self-tuning mechanism for fuzzy PID controllers. INISTA 2015: 1-7 - [c15]Ahmet Taskin, Tufan Kumbasar
:
An Open Source Matlab/Simulink Toolbox for Interval Type-2 Fuzzy Logic Systems. SSCI 2015: 1561-1568 - [p1]Tufan Kumbasar
, Hani Hagras:
Interval Type-2 Fuzzy PID Controllers. Handbook of Computational Intelligence 2015: 285-294 - 2014
- [j6]Tufan Kumbasar
, Hani Hagras
:
Big Bang-Big Crunch optimization based interval type-2 fuzzy PID cascade controller design strategy. Inf. Sci. 282: 277-295 (2014) - [j5]Tufan Kumbasar
:
A simple design method for interval type-2 fuzzy pid controllers. Soft Comput. 18(7): 1293-1304 (2014) - [c14]Mehmet Furkan Dodurka, Tufan Kumbasar
, Ahmet Sakalli, Engin Yesil
:
Boundary function based Karnik-Mendel type reduction method for Interval Type-2 Fuzzy PID controllers. FUZZ-IEEE 2014: 619-625 - [c13]Ahmet Sakalli, Tufan Kumbasar
, Mehmet Furkan Dodurka, Engin Yesil
:
The simplest interval type-2 fuzzy PID controller: Structural analysis. FUZZ-IEEE 2014: 626-633 - [c12]Tufan Kumbasar
:
Robust stability analysis of PD type single input interval type-2 fuzzy control systems. FUZZ-IEEE 2014: 634-639 - [c11]Ahmet Sakalli, Tufan Kumbasar
, Engin Yesil
, Hani Hagras
:
Analysis of the performances of type-1, self-tuning type-1 and interval type-2 fuzzy PID controllers on the Magnetic Levitation system. FUZZ-IEEE 2014: 1859-1866 - [c10]Tufan Kumbasar
, Cihan Öztürk, Engin Yesil
, Hani Hagras
:
Performance evaluation of interval type-2 and online rule weighing based Type-1 Fuzzy PID controllers on a pH process. FUZZ-IEEE 2014: 1875-1882 - [c9]Engin Yesil, Tufan Kumbasar
, M. Furkan Dodurka, Ahmet Sakalli:
Peak Observer Based Self-tuning of Type-2 Fuzzy PID Controllers. AIAI 2014: 487-497 - 2013
- [j4]Onur Karasakal, Müjde Güzelkaya
, Ibrahim Eksin
, Engin Yesil
, Tufan Kumbasar
:
Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration. Eng. Appl. Artif. Intell. 26(1): 184-197 (2013) - [j3]Tufan Kumbasar
, Ibrahim Eksin
, Müjde Güzelkaya
, Engin Yesil
:
Exact inversion of decomposable interval type-2 fuzzy logic systems. Int. J. Approx. Reason. 54(2): 253-272 (2013) - [c8]Tufan Kumbasar
:
A one to three input mapping IT2-FLC PID design strategy. FUZZ-IEEE 2013: 1-6 - [c7]Tufan Kumbasar
, Hani Hagras
:
A big bang-big crunch optimization based approach for interval type-2 fuzzy PID controller design. FUZZ-IEEE 2013 - [c6]Tufan Kumbasar
, Engin Yesil
, Onur Karasakal:
Self-tuning interval type-2 fuzzy PID controllers based on online rule weighting. FUZZ-IEEE 2013: 1-6 - [c5]Engin Yesil
, Ahmet Sakalli, Cihan Öztürk, Tufan Kumbasar
:
Online fuzzy rule weighting method for fuzzy PID controllers via Big Bang-Big Crunch optimization. FUZZ-IEEE 2013: 1-8 - [c4]Tufan Kumbasar
, Hani Hagras
:
A Type-2 Fuzzy Cascade Control Architecture for Mobile Robots. SMC 2013: 3226-3231 - 2012
- [b1]Tufan Kumbasar:
Type-2 fuzzy model inversion methods and fuzzy model based controller design (Tip-2 bulanik modellerin tersinin alinmasi ve bulanik model tabanli kontrolör tasarimi). İstanbul Technical University, Turkey, 2012 - 2011
- [j2]Tufan Kumbasar
, Ibrahim Eksin
, Müjde Güzelkaya
, Engin Yesil
:
Interval type-2 fuzzy inverse controller design in nonlinear IMC structure. Eng. Appl. Artif. Intell. 24(6): 996-1005 (2011) - [j1]Tufan Kumbasar
, Ibrahim Eksin
, Müjde Güzelkaya
, Engin Yesil
:
Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm. Expert Syst. Appl. 38(10): 12356-12364 (2011) - [c3]Tufan Kumbasar
, Ibrahim Eksin
, Müjde Güzelkaya
, Engin Yesil
:
An inversion method for interval type-2 fuzzy logic systems. ISDA 2011: 760-765 - 2010
- [c2]Simon Oblak, Tufan Kumbasar, Igor Skrjanc, Engin Yesil:
Inverse-model predictive control based on INFUMO-BB-BC optimization. ALCOSP 2010: 294-299
2000 – 2009
- 2008
- [c1]Tufan Kumbasar
, Ibrahim Eksin, Müjde Güzelkaya
, Engin Yesil:
Big Bang Big Crunch Optimization Method Based Fuzzy Model Inversion. MICAI 2008: 732-740
Coauthor Index
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last updated on 2024-08-15 23:49 CEST by the dblp team
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