Using Fuzzy Knowledge Base to Evaluate a Classical Potential Barrier of Liquid Phase Reactions of Tert-Butyloxyl Radicals with Hydrocarbons

Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part I - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-46583-8_16 ◽

2016 ◽

pp. 199-209 ◽

Cited By ~ 1

Author(s):

Vladimir E. Tumanov ◽

Elena S. Amosova ◽

Andrei I. Prokhorov

Keyword(s):

Liquid Phase ◽

Knowledge Base ◽

Potential Barrier ◽

Classical Potential ◽

Fuzzy Knowledge

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Classical Potential Barrier of Liquid Phase Radical Reactions and its Simulation Based on the Experimental Kinetic and Thermochemical Data Using Fuzzy Neural Networks

2018 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO) ◽

10.1109/iccairo.2018.00028 ◽

2018 ◽

Cited By ~ 1

Author(s):

Andrei Prokhorov ◽

Vladimir Tumanov ◽

Elena Amosova

Keyword(s):

Neural Networks ◽

Liquid Phase ◽

Potential Barrier ◽

Fuzzy Neural Networks ◽

Thermochemical Data ◽

Radical Reactions ◽

Simulation Based ◽

Fuzzy Neural ◽

Classical Potential

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Short-Term Fuzzy Load Forecasting Model Using Genetic–Fuzzy and Ant Colony–Fuzzy Knowledge Base Optimization

Applied Sciences ◽

10.3390/app8060864 ◽

2018 ◽

Vol 8 (6) ◽

pp. 864 ◽

Cited By ~ 8

Author(s):

Murat Luy ◽

Volkan Ates ◽

Necaattin Barisci ◽

Huseyin Polat ◽

Ertugrul Cam

Keyword(s):

Knowledge Base ◽

Load Forecasting ◽

Ant Colony ◽

Forecasting Model ◽

Short Term ◽

Fuzzy Knowledge

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Fault Location System for Electric Power Transmission Lines Based on Fuzzy Knowledge Base

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss1987.110.2_70 ◽

1990 ◽

Vol 110 (2) ◽

pp. 70-78

Author(s):

Katuyuki Urasawa ◽

Hitoshi Kanoh ◽

Kimiharu Kanemaru ◽

Kouichi Sugiyama

Keyword(s):

Knowledge Base ◽

Electric Power ◽

Transmission Lines ◽

Fault Location ◽

Power Transmission ◽

Power Transmission Lines ◽

Location System ◽

Electric Power Transmission Lines ◽

Fuzzy Knowledge

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Web Intelligence

Big Data ◽

10.4018/978-1-4666-9840-6.ch033 ◽

2016 ◽

pp. 711-733 ◽

Cited By ~ 1

Author(s):

Jafreezal Jaafar ◽

Kamaluddeen Usman Danyaro ◽

M. S. Liew

Keyword(s):

Big Data ◽

Knowledge Base ◽

Data Model ◽

Performance Comparison ◽

Web Ontology Language ◽

Web Intelligence ◽

Knowledge Based ◽

Ontology Language ◽

And Performance ◽

Fuzzy Knowledge

This chapter discusses about the veracity of data. The veracity issue is the challenge of imprecision in big data due to influx of data from diverse sources. To overcome this problem, this chapter proposes a fuzzy knowledge-based framework that will enhance the accessibility of Web data and solve the inconsistency in data model. D2RQ, protégé, and fuzzy Web Ontology Language applications were used for configuration and performance. The chapter also provides the completeness fuzzy knowledge-based algorithm, which was used to determine the robustness and adaptability of the knowledge base. The result shows that the D2RQ is more scalable with respect to performance comparison. Finally, the conclusion and future lines of the research were provided.

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