Jianqiang Wang spends much of his time researching Fuzzy set, Data mining, Artificial intelligence, Multiple-criteria decision analysis and Fuzzy logic. He mostly deals with Intuitionistic fuzzy in his studies of Fuzzy set. He studied Data mining and Rule-based machine translation that intersect with Operations research.
His Artificial intelligence study combines topics in areas such as Machine learning and Extension. His work deals with themes such as Ranking and Term, which intersect with Multiple-criteria decision analysis. The Fuzzy number research Jianqiang Wang does as part of his general Fuzzy logic study is frequently linked to other disciplines of science, such as Extant taxon, Rank and Evidential reasoning approach, therefore creating a link between diverse domains of science.
Jianqiang Wang mostly deals with Chemical engineering, Artificial intelligence, Fuzzy logic, Mathematical optimization and Multiple-criteria decision analysis. His research investigates the link between Chemical engineering and topics such as Adsorption that cross with problems in Polymer chemistry. The concepts of his Artificial intelligence study are interwoven with issues in Term, Machine learning and Computer vision.
He does research in Fuzzy logic, focusing on Fuzzy set specifically. Jianqiang Wang is interested in Multi criteria decision, which is a field of Mathematical optimization. His Multiple-criteria decision analysis research incorporates elements of Ranking and Data mining.
His primary areas of investigation include Chemical engineering, Fuzzy logic, Artificial intelligence, Probabilistic logic and Operations research. Within one scientific family, Jianqiang Wang focuses on topics pertaining to Electrochemistry under Chemical engineering, and may sometimes address concerns connected to Scanning electron microscope and Catalysis. The various areas that Jianqiang Wang examines in his Fuzzy logic study include Computational intelligence, Selection, Decision support system, Mathematical optimization and Ranking.
The study of Ranking is intertwined with the study of Multiple-criteria decision analysis in a number of ways. His Artificial intelligence research incorporates themes from Machine learning and Pattern recognition. His Probabilistic logic study combines topics from a wide range of disciplines, such as Probability distribution, Normalization, ELECTRE, Failure mode and effects analysis and Term.
His main research concerns Chemical engineering, Probabilistic logic, Artificial intelligence, Fuzzy logic and ELECTRE. His Chemical engineering research includes elements of Electrochemistry, Adsorption and Scanning electron microscope. His research integrates issues of Structure, Multiple-criteria decision analysis, Rule-based machine translation and Binary relation in his study of Probabilistic logic.
The Multiple-criteria decision analysis study combines topics in areas such as Probability distribution, Ranking and Data mining. His studies in Artificial intelligence integrate themes in fields like Field and Machine learning. The study incorporates disciplines such as Ranking, Sensitivity, Computational intelligence and Operations research in addition to Fuzzy logic.
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Understanding the High Activity of Fe-N-C Electrocatalysts in Oxygen Reduction: Fe/Fe3C Nanoparticles Boost the Activity of Fe-N(x).
Wen-Jie Jiang;Lin Gu;Li Li;Yun Zhang;Yun Zhang.
Journal of the American Chemical Society (2016)
Ordered Mesoporous Black TiO2 as Highly Efficient Hydrogen Evolution Photocatalyst
Wei Zhou;Wei Li;Jian-Qiang Wang;Yang Qu.
Journal of the American Chemical Society (2014)
Model Predictive Multi-Objective Vehicular Adaptive Cruise Control
Shengbo Li;Keqiang Li;R Rajamani;Jianqiang Wang.
IEEE Transactions on Control Systems and Technology (2011)
Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies
Yang Zheng;Shengbo Eben Li;Jianqiang Wang;Dongpu Cao.
IEEE Transactions on Intelligent Transportation Systems (2016)
Highly Sensitive and Selective Uranium Detection in Natural Water Systems Using a Luminescent Mesoporous Metal-Organic Framework Equipped with Abundant Lewis Basic Sites: A Combined Batch, X-ray Absorption Spectroscopy, and First Principles Simulation Investigation.
Wei Liu;Xing Dai;Zhuanling Bai;Yanlong Wang.
Environmental Science & Technology (2017)
Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems
Juan-juan Peng;Jian-qiang Wang;Jing Wang;Hong-yu Zhang.
International Journal of Systems Science (2016)
Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment
Hongbo Gao;Bo Cheng;Jianqiang Wang;Keqiang Li.
IEEE Transactions on Industrial Informatics (2018)
Overcoming the crystallization and designability issues in the ultrastable zirconium phosphonate framework system.
Tao Zheng;Zaixing Yang;Daxiang Gui;Zhiyong Liu.
Nature Communications (2017)
Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems
Jian-qiang Wang;Jia-ting Wu;Jing Wang;Hong-yu Zhang.
Information Sciences (2014)
Interval neutrosophic sets and their application in multicriteria decision making problems.
Hong-yu Zhang;Jian-qiang Wang;Xiao-hong Chen.
The Scientific World Journal (2014)
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