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A hybrid agent based on reinforcement learning and fuzzy computing using q-rung orthopair fuzzy information for electricity purchasing negotiation in smart grids.

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Title: A hybrid agent based on reinforcement learning and fuzzy computing using q-rung orthopair fuzzy information for electricity purchasing negotiation in smart grids.
Authors: Panagiotou, Dimitrios K.1, d.panagiotou@uniwa.gr, Dounis, Anastasios1
Source: Applied Soft Computing; Apr2026, Vol. 191, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192304981
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192304981
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.asoc.2026.114683
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: A hybrid agent based on reinforcement learning and fuzzy computing using q-rung orthopair fuzzy information for electricity purchasing negotiation in smart grids.
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              M: 04
              Text: Apr2026
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              Y: 2026
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