2000 - IEEE Fellow For contributions to fuzzy logic, model identifications, soft computing, artificial intelligence, and reasoning under uncertainty.
John Yen mostly deals with Fuzzy logic, Artificial intelligence, Machine learning, Fuzzy set and Neuro-fuzzy. His Fuzzy logic study frequently draws connections between related disciplines such as Intelligent decision support system. John Yen has researched Machine learning in several fields, including Scheme, Component and Social network.
His Fuzzy set research includes elements of Iterative and incremental development, Software engineering, Quality function deployment and Requirements elicitation. John Yen specializes in Neuro-fuzzy, namely Fuzzy electronics. John Yen has included themes like Industrial control system and Fuzzy Control Language in his Fuzzy electronics study.
Artificial intelligence, Fuzzy logic, Knowledge management, Teamwork and Machine learning are his primary areas of study. His Artificial intelligence research is multidisciplinary, relying on both Data mining and Pattern recognition. Fuzzy control system, Fuzzy set, Fuzzy set operations, Neuro-fuzzy and Fuzzy electronics are the primary areas of interest in his Fuzzy logic study.
His work carried out in the field of Fuzzy set operations brings together such families of science as Fuzzy number, Defuzzification and Fuzzy classification. His Knowledge management research incorporates themes from R-CAST, Multi-agent system, Agent architecture, Software agent and Decision support system. His work deals with themes such as Semantics and Information needs, which intersect with Teamwork.
John Yen focuses on Data science, Artificial intelligence, Online health communities, Social support and Data mining. His Data science research is multidisciplinary, incorporating perspectives in Social network analysis, Social network, Context, Task and Analytic reasoning. His Artificial intelligence study frequently draws parallels with other fields, such as Machine learning.
His Online health communities study combines topics in areas such as Sentiment analysis, Conversation and Identification. The Social support study combines topics in areas such as Structure, Adaptation and Internet privacy. He combines subjects such as Fuzzy logic and Rule-based system with his study of Dempster–Shafer theory.
His primary scientific interests are in Internet privacy, Social support, Data science, Online health communities and Sentiment analysis. His Internet privacy study deals with Social media intersecting with Information technology, Emergency management and Enhanced Messaging Service. His Data science study integrates concerns from other disciplines, such as TRACE, Analytic reasoning and Task, Task analysis.
His Online health communities study combines topics from a wide range of disciplines, such as Data mining, Affect, Classifier and World Wide Web, The Internet. His Affect research includes themes of Social network analysis, Health care and Identification. The various areas that John Yen examines in his World Wide Web study include Domain, Co-training, Social influence and Product.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Fuzzy Logic: Intelligence, Control, and Information
John Yen;Reza Langari.
FLAME—Fuzzy Logic Adaptive Model of Emotions
Magy Seif El-Nasr;John Yen;Thomas R. Ioerger.
Autonomous Agents and Multi-Agent Systems (2000)
Industrial Applications of Fuzzy Logic and Intelligent Systems
John Yen;Reza Langari;Lofti A. Zadeh.
Generalizing the Dempster-Schafer theory to fuzzy sets
systems man and cybernetics (1990)
Improving the interpretability of TSK fuzzy models by combining global learning and local learning
J. Yen;Liang Wang;C.W. Gillespie.
IEEE Transactions on Fuzzy Systems (1998)
Simplifying fuzzy rule-based models using orthogonal transformation methods
J. Yen;Liang Wang.
systems man and cybernetics (1999)
House of quality: A fuzzy logic-based requirements analysis
Cecilia Temponi;John Yen;W. Amos Tiao.
European Journal of Operational Research (1999)
A hybrid approach to modeling metabolic systems using a genetic algorithm and simplex method
J. Yen;D. Randolph;Bogju Lee;J.C. Liao.
systems man and cybernetics (1995)
A fuzzy logic based extension to Payton and Rosenblatt's command fusion method for mobile robot navigation
J. Yen;N. Pfluger.
systems man and cybernetics (1995)
Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions
Kang Zhao;A Kumar;T P Harrison;J Yen.
IEEE Systems Journal (2011)
Profile was last updated on December 6th, 2021.
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