Orhan Dalkilic | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Published on by Statistics

Mr. Orhan Dalkilic | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Bingol University | Turkey

Mr. Orhan Dalkilic is a distinguished mathematician and academic at Bingol University, Faculty of Arts and Sciences, Department of Mathematics. His research focuses on general topology, decision-making algorithms under uncertainty, hybrid set theories including fuzzy, rough, soft, neutrosophic, and virtual fuzzy parameterized soft (VFP-soft) sets, as well as data analysis and decision-support systems. He earned his Bachelor’s degree in Mathematics from Marmara University, followed by a Master’s and Ph.D. in Mathematics from Mersin University, specializing in the mathematical modelling of uncertainty and intelligent decision-making. Mr. Dalkilic has made substantial contributions to the development of mathematical models that enhance decision-making processes, providing innovative theoretical frameworks for handling uncertainty in real-world problems. With a prolific publication record, he has authored 49 academic works, including 20 papers indexed in the Science Citation Index (SCI), 243 Citation in Scopus, and 13 in other international journals. Among his SCI-indexed studies, 9 appear in Q1, 8 in Q2, and 3 in Q3 journals, reflecting his strong impact on the scientific community. His research often bridges mathematical theory and practical application, focusing on relationship analysis, topological structures, and soft computing techniques. Mr. Dalkilic has achieved an h-index of 14, an i10-index of 19, and has accumulated more than 650 citations, underscoring the influence and relevance of his scholarly output. His recent works, such as studies on decision-making approaches focusing on parameter-object relationships within soft set frameworks, highlight his continued commitment to advancing the fields of uncertainty theory and decision analysis. Through his innovative methods and interdisciplinary approach, Mr. Orhan Dalkilic has established himself as a leading researcher contributing significantly to the global development of modern applied mathematics and intelligent decision systems.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Dalkilic, O. (2025). Unifying relationships in uncertain environments: Examining relations in binary soft sets for expressing inter-object correspondence. The Journal of Supercomputing, 81(16), 1–29.

Stojanović, N., Vučićević, N., & Dalkilic  O. (2025). Decision-making algorithm based on the scored-energy of neutrosophic soft sets. Afrika Matematika, 36(3), 1–22.

Demirtaş, N., Dalkilic, O., & Şimşekler Dizman, T. (2025). Optimal parameter identification in soft set frameworks: A decision support model. Boletim da Sociedade Paranaense de Matemática, 43(3), 1–10.

Dalkilic, O. (2025). Decision-making approaches focusing on best parameter-object pair for soft set. Neural Computing and Applications, 1–19.

Dalkilic, O. (2025). Nötrosofik parametreli aşırı-esnek kümelerin karar vericiler için bir genellemesi. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 25(1), 81–88.

Ching Chih Tsai | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Published on by Statistics

Prof. Ching Chih Tsai | Fuzzy Statistics and Uncertainty Modelling | Best Researcher Award

Prof. Ching Chih Tsai |  National Chung Hsing University | Taiwan

Prof. Ching Chih Tsai is a distinguished academic in electrical engineering and control systems, currently serving as a Life Distinguished Professor at the Department of Electrical Engineering, National Chung Hsing University (NCHU), Taiwan. He earned his Ph.D. from Northwestern University in 1991. Dr. Tsai has held significant leadership roles, including serving as the President of the Chinese Automatic Control Society (CACS), the Robotics Society of Taiwan (RST), and the International Fuzzy Systems Association (IFSA). He has also been a Board of Governors member of IEEE Systems, Man, and Cybernetics Society (SMCS) and is currently the Dean of the College of Electrical Engineering and Computer Science at NCHU. An IEEE Fellow, his research focuses on intelligent control systems, mobile robotics, and automation intelligence. Dr. Tsai has published over 700 technical articles, with more than 20 in the International Journal of Fuzzy Systems since 2005. His recent work includes a 2025 paper on intelligent adaptive formation control for multi-quadrotors, introducing a hybrid controller combining Output Recurrent Fuzzy Broad Learning Systems (ORFBLS), reinforcement learning, and adaptive backstepping sliding mode control. According to Scopus, he has an h-index of 29, with 3,902 citations from 272 documents.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Rospawan, A., Tsai, C.-C., & Hung, C.-C. (2025). Two-layer intelligent learning control using output recurrent fuzzy neural long short-term memory broad learning system with RMSprop. IEEE Access.

Tsai, C.-C., Hung, C.-C., Mao, C.-F., Wu, H.-S., & Chen, C.-H. (2025). Fuzzy neural LSTM-RBLS for fractional-order PID sliding-mode motion control of autonomous mobile robots with four ISID wheels. International Journal of Fuzzy Systems.

Tsai, C.-C., Mao, C.-F., & Hussain, K. (2025). Intelligent adaptive formation control using ORFBLS and reinforcement learning for uncertain tilting multi-quadrotors. International Journal of Fuzzy Systems. =

Rospawan, A., Tsai, C.-C., & Hung, C.-C. (2025). Intelligent MIMO ORFBLS-based setpoint tracking control with its application to temperature control of an industrial extrusion barrel. International Journal of Fuzzy Systems.

Tsai, C.-C., Huang, H.-C., Chen, H.-Y., Hung, C.-C., & Chen, S.-T. (2024). Intelligent collision-free formation control of ball-riding robots using output recurrent broad learning in industrial cyber-physical systems. IEEE Transactions on Industrial Cyber-Physical Systems.