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Fuzzy Systems in Bio-inspired Computing: State-of-the-Art Literature Review

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Innovations in Bio-Inspired Computing and Applications (IBICA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 649))

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Abstract

Bio-inspired computing whose examples can be found in artificial intelligence is a research method for solving problems using computer models based on the principles of biology and nature. Applications of bio-inspired computing involve genetic algorithms, neural networks, artificial immune systems, sensory networks, and others. These applications sometimes need to work under incomplete and vague data and the fuzzy set theory can help model the problem under these conditions. Literature has already employed the fuzzy set theory in bio-inspired computing such as fuzzy genetic algorithms, fuzzy artificial immune systems, and fuzzy ant colony systems. Although there are many fuzzy-enhanced bio-inspired computing approaches, a systematic review that classifies these approaches is missing in the literature. Understanding how and where to use relevant fuzzy bio-inspired computing is crucial both for academicians and practitioners. Thus, this paper presents a state-of-the-art literature review for fuzzy bio-inspired computing; tabular and graphical illustrations show the numerical results of the literature review indicating that there is a large acceleration on this research area in recent years.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, 34367, Macka, Istanbul, Turkey

    Cengiz Kahraman, Basar Oztaysi & Sezi Cevik Onar

  2. Department of Industrial Engineering, Yildiz Technical University, 34349, Yildiz, Istanbul, Turkey

    Selcuk Cebi

Authors
  1. Cengiz Kahraman
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  2. Basar Oztaysi
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  3. Sezi Cevik Onar
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  4. Selcuk Cebi
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Corresponding author

Correspondence to Cengiz Kahraman .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Data Science, Flame University, Pune, Maharashtra, India

    Ajith Abraham

  2. Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Anu Bajaj

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

  4. Interdisciplinary Studies Research Center (ISRC), Institute of Engineering, Polytechnique of Porto (ISEP/P.PORTO), INOV (Institute for Systems and Computer Engineering, Technology and Science), Porto, Portugal

    Ana Maria Madureira

  5. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Türkiye

    Cengiz Kahraman

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Kahraman, C., Oztaysi, B., Onar, S.C., Cebi, S. (2023). Fuzzy Systems in Bio-inspired Computing: State-of-the-Art Literature Review. In: Abraham, A., Bajaj, A., Gandhi, N., Madureira, A.M., Kahraman, C. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2022. Lecture Notes in Networks and Systems, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-031-27499-2_6

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