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Fuzzy Collective Intelligence for Performance Measurement in Energy Systems

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dc.contributor.authorKahraman, Cengiz
dc.contributor.authorÇevik Onar, Sezi
dc.contributor.authorOztaysi, Basar
dc.contributor.ituauthorÇevik, Onar Sezi
dc.contributor.ituauthorÖztayşi, Başar
dc.date.accessioned2026-01-31T11:20:12Z
dc.date.issued2018-01-01
dc.description.abstractCollective 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.
dc.description.urihttps://doi.org/10.1007/978-3-319-75690-5_22
dc.description.urihttps://dx.doi.org/10.1007/978-3-319-75690-5_22
dc.identifier.doi10.1007/978-3-319-75690-5_22
dc.identifier.openairedoi_dedup___::fe45e7001b8f9b4af2ded80801ea0536
dc.identifier.orcid0000-0001-6451-6709
dc.identifier.orcid0000-0002-1090-7963
dc.identifier.urihttps://hdl.handle.net/11527/70081
dc.publisherSpringer International Publishing
dc.rightsCLOSED
dc.sdg.typeGoal 7: Affordable and Clean Energy
dc.titleFuzzy Collective Intelligence for Performance Measurement in Energy Systems
dc.typeBook Part
dspace.entity.typePublication
person.identifier.orcid0000-0001-6451-6709
person.identifier.orcid0000-0002-1090-7963

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