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An Application of Neural Network to Heavy Oil Distillation with Recognitions with Intuitionistic Fuzzy Estimation

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Fuzzy Logic in Intelligent System Design (NAFIPS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 648))

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Abstract

Neural networks are a tool that can be used for the modelling of many systems and process behavior. The artificial neural networks can “understand” the information from health care processes. For the estimations between these two concepts we use intuitionistic fuzzy sets. Here, for the learning process of the neural networks, we will use 60 heavy oils that have been characterized for their distillation characteristics by ASTM D-5236 and ASTM D-1160 in the Research laboratory of LUKOIL Neftochim Burgas. The aim is to recognize the type of crude oil based on six of their properties.

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Author information

Authors and Affiliations

  1. Intelligent Systems Laboratory, Prof. Assen Zlatarov University, 1 Prof. Yakimov str., 8010, Bourgas, Bulgaria

    Sotir Sotirov & Evdokia Sotirova

  2. Process Engineer Department, Lukoil Neftochim Bourgas, 8104, Bourgas, Bulgaria

    Dicho Stratiev & Danail Stratiev

  3. Faculty of Telecommunications, Technical University – Sofia, 1756, Sofia, Bulgaria

    Nikolay Sotirov

Authors
  1. Sotir Sotirov
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  2. Evdokia Sotirova
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  3. Dicho Stratiev
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  4. Danail Stratiev
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  5. Nikolay Sotirov
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Corresponding author

Correspondence to Sotir Sotirov .

Editor information

Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  4. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Reformat

  5. Laboratory of Computational Intelligence and Automation, University of Waterloo, Waterloo, Ontario, Canada

    William Melek

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Sotirov, S., Sotirova, E., Stratiev, D., Stratiev, D., Sotirov, N. (2018). An Application of Neural Network to Heavy Oil Distillation with Recognitions with Intuitionistic Fuzzy Estimation. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_27

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  • DOI: https://doi.org/10.1007/978-3-319-67137-6_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67136-9

  • Online ISBN: 978-3-319-67137-6

  • eBook Packages: EngineeringEngineering (R0)

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