1 Ocak 2011 Dergi makalesi Açık Erişim

Akay, Diyar; Kulak, Osman; Henson, Brian

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/18951</identifier>
  <creators>
    <creator>
      <creatorName>Akay, Diyar</creatorName>
      <givenName>Diyar</givenName>
      <familyName>Akay</familyName>
      <affiliation>Gazi Univ, Dept Ind Engn, TR-06570 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Kulak, Osman</creatorName>
      <givenName>Osman</givenName>
      <familyName>Kulak</familyName>
      <affiliation>Pamukkale Univ, Dept Ind Engn, TR-20070 Denizli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Henson, Brian</creatorName>
      <givenName>Brian</givenName>
      <familyName>Henson</familyName>
      <affiliation>Univ Leeds, Dept Mech Engn, Leeds LS2 9JT, W Yorkshire, England</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Conceptual Design Evaluation Using Interval Type-2 Fuzzy Information Axiom</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2011</publicationYear>
  <dates>
    <date dateType="Issued">2011-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/18951</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.compind.2010.10.007</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">Concept selection is the most critical part of the design process as it determines the direction of subsequent design stages. In addition, it is a difficult task because available information for decision-making at this stage is imprecise and subjective. This necessitates the need for fuzzy decision models for selecting the best conceptual design among a set of alternatives. Although ordinary fuzzy sets cover uncertainties of linguistic words to some extent, it is recommended to use interval type-2 fuzzy sets (IT2FS) to capture potential uncertainties of words. This paper presents a new concept selection methodology that extends the fuzzy information axiom (RA) approach to incorporate IT2FS5. The proposed methodology is called interval-type-2 fuzzy information axiom (IT2-FIA). IT2-FIA method is also enriched by using ordered weighted geometric aggregation operator to include the decision maker's attitude during the aggregation process. A case study is given to demonstrate the potential of the methodology. (C) 2010 Elsevier B.V. All rights reserved.</description>
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