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Fuzzy Collective Intelligence for Performance Measurement in Energy Systems

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Energy Management—Collective and Computational Intelligence with Theory and Applications

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 149))

Abstract

Collective intelligence (CI) means that a group of people or animals can solve problems efficiently and offer greater insight and a better answer than any individual could provide. Fuzzy sets have been integrated with collective intelligence techniques in order to allow uncertain, vague imprecise and incomplete information to be incorporated to the CI models. The fuzzy CI techniques have been rarely used in the solution of energy problems even they still present new research opportunities to researchers. This chapter gives the results of the literature review on fuzzy CI research for energy systems.

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Authors and Affiliations

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

    Cengiz Kahraman, Sezi Çevik Onar & Basar Oztaysi

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  1. Cengiz Kahraman
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  2. Sezi Çevik Onar
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  3. Basar Oztaysi
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Correspondence to Cengiz Kahraman .

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Editors and Affiliations

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

    Cengiz Kahraman

  2. Energy Institute, Istanbul Technical University, Istanbul, Turkey

    Gülgün Kayakutlu

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Kahraman, C., Çevik Onar, S., Oztaysi, B. (2018). Fuzzy Collective Intelligence for Performance Measurement in Energy Systems. In: Kahraman, C., Kayakutlu, G. (eds) Energy Management—Collective and Computational Intelligence with Theory and Applications. Studies in Systems, Decision and Control, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-319-75690-5_22

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  • DOI: https://doi.org/10.1007/978-3-319-75690-5_22

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