<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-27T15:21:43Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/23814" metadataPrefix="mods">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/23814</identifier><datestamp>2024-02-22T17:34:37Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Valverde-Albacete, Francisco J.</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Peláez-Moreno, Carmen</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Del Campo Campos, Cristina</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2023-06-18T06:03:11Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2023-06-18T06:03:11Z</mods:dateAccessioned>
   </mods:extension>
   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2015-03-31</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="issn">14349922</mods:identifier>
   <mods:identifier type="doi">10.1007/978-3-319-16235-5_15</mods:identifier>
   <mods:identifier type="uri">https://hdl.handle.net/20.500.14352/23814</mods:identifier>
   <mods:identifier type="officialurl">https://link.springer.com/chapter/10.1007%2F978-3-319-16235-5_15</mods:identifier>
   <mods:abstract>This paper deals with the relation between fuzzy implications and Galois connections, trying to raise the awareness that the fuzzy implications are indispensable to generalise Formal Concept Analysis. The concrete goal of the paper is to make evident that Galois connections, which are at the heart of some of the generalizations of Formal Concept Analysis, can be interpreted as fuzzy incidents. Thus knowledge processing, discovery, exploration and visualization as well as data mining are new research areas for fuzzy implications as they are areas where Formal Concept Analysis has a niche.</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">open access</mods:accessCondition>
   <mods:titleInfo>
      <mods:title>Activating Generalized Fuzzy Implications from Galois Connections</mods:title>
   </mods:titleInfo>
   <mods:genre>journal article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>