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Fuzzy Type-2 Applications to Analytical Chemistry

Published: 2 April 2013
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Abstract

A general overview about the usefulness of the theory of fuzzy type-2 for solving problems in the field of data analysis and analytical reasoning in analytical chemistry is given. Results of the development of Intel-systems for auto-mated qualitative analysis in X-ray fluorescence analysis and in ICP-atomic emission spectroscopy are discussed.

Published in Modern Chemistry (Volume 1, Issue 2)
DOI 10.11648/j.mc.20130102.11
Page(s) 18-21
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2013. Published by Science Publishing Group

Keywords

Fuzzy Type-2, Analytical Chemistry

References
[1] Proceedings of the International Conference on Fuzzy Logic & Neural Networks, Iizuka (Japan), July 22-24 (1 9 9 0). [2] L.A. Zadeh, "The concept of a linguistic variable and its ap-plication to approximate reasoning–1", Information Sciences, vol. 8, pp. 199–249, 1975.
[2] J.M. Mendel, "Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions", Prentice-Hall, Upper-Saddle River, NJ, 2001.
[3] F. Shabaninia, "Type-2 Fuzzy Multiagent Traffic Signal Con-trol", IEEE-IRI F. Shabaninia, "Fuzzy Type-2 Electrode Position Controls for an Electric Arc Furnace ", IEEE-IRI Conference, Las Vegas 2012.
[4] J. M. Mendel, "Type-2 Fuzzy Sets and Systems: An Over-view", IEEE Computational Intelligence Magazine, 2007.
[5] N. N. Karnik, J. M. Mendel, Q. Liang, "Type-2 Fuzzy Logic Systems", IEEE Transactions on Fuzzy Systems, vol. 7, NO. 6, 1999.
[6] M. Otto, Chemo metrics Intelligent Lab. SYS. 4, 101-120 (1 9 8 8).
[7] H. Bandemer and M. Otto, Mikrochim. Acta [Wien] 11, 93-124 (1 9 8 6).
[8] T. George, M. Otto and W. Wegscheider. Y. Yamada, S. Mu-rayama and S. Shiomi, J. Chem. Eng. Of Japan 24, 94-99 (1 9 9 1).
[9] L.A. Zadeh, in J.E. Hayes, D. Michie and L.I. Kulich (Eds.), Machine Intelligence 9, Wiley, New York, 149-194 (1 9 7 9).
[10] R.R. Yager, Artificial Intel. 31, 99-112 (1 9 8 7).
[11] M. Otto and R.R. Yager, in G. Gauglitz (Ed.), Software- Entwicklungen in der Chemie 3, Springer-Verlag, Berlin Heidelberg. 229-245 11989).
[12] T.-Blaffert, Anal, 'Chim. Acta 161, 135-148 (1 9 8 4).
[13] M. Otto and H. Bandemer, Anal. Chim. Acta 184, 21-31 (1 9 8 6)
[14] E. Stottmeister, H. Hermann, P. Hendel, D. Feiler, M. Nagel and H.-J. Dobberkau, Fresenius Zeitschrift f. Anal. Chemie 327, 709-714 (1 9 8 7).
[15] T. Jacobson, K. Kolset and N.B. Vogt, Mikrochim. Acta [Wienl TI, 125-138 (1 9 8 6).
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  • APA Style

    Zahra Shabaninia, Hava Torabi. (2013). Fuzzy Type-2 Applications to Analytical Chemistry. Modern Chemistry, 1(2), 18-21. https://doi.org/10.11648/j.mc.20130102.11

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    ACS Style

    Zahra Shabaninia; Hava Torabi. Fuzzy Type-2 Applications to Analytical Chemistry. Mod. Chem. 2013, 1(2), 18-21. doi: 10.11648/j.mc.20130102.11

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    AMA Style

    Zahra Shabaninia, Hava Torabi. Fuzzy Type-2 Applications to Analytical Chemistry. Mod Chem. 2013;1(2):18-21. doi: 10.11648/j.mc.20130102.11

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  • @article{10.11648/j.mc.20130102.11,
      author = {Zahra Shabaninia and Hava Torabi},
      title = {Fuzzy Type-2 Applications to Analytical Chemistry},
      journal = {Modern Chemistry},
      volume = {1},
      number = {2},
      pages = {18-21},
      doi = {10.11648/j.mc.20130102.11},
      url = {https://doi.org/10.11648/j.mc.20130102.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mc.20130102.11},
      abstract = {A general overview about the usefulness of the theory of fuzzy type-2 for solving problems in the field of data analysis and analytical reasoning in analytical chemistry is given. Results of the development of Intel-systems for auto-mated qualitative analysis in X-ray fluorescence analysis and in ICP-atomic emission spectroscopy are discussed.},
     year = {2013}
    }
    

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    T1  - Fuzzy Type-2 Applications to Analytical Chemistry
    AU  - Zahra Shabaninia
    AU  - Hava Torabi
    Y1  - 2013/04/02
    PY  - 2013
    N1  - https://doi.org/10.11648/j.mc.20130102.11
    DO  - 10.11648/j.mc.20130102.11
    T2  - Modern Chemistry
    JF  - Modern Chemistry
    JO  - Modern Chemistry
    SP  - 18
    EP  - 21
    PB  - Science Publishing Group
    SN  - 2329-180X
    UR  - https://doi.org/10.11648/j.mc.20130102.11
    AB  - A general overview about the usefulness of the theory of fuzzy type-2 for solving problems in the field of data analysis and analytical reasoning in analytical chemistry is given. Results of the development of Intel-systems for auto-mated qualitative analysis in X-ray fluorescence analysis and in ICP-atomic emission spectroscopy are discussed.
    VL  - 1
    IS  - 2
    ER  - 

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Author Information
  • Shiraz University, Iran

  • Shiraz University, Iran

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