1 Ocak 2011 Dergi makalesi Açık Erişim

Akay, Diyar; Kulak, Osman; Henson, Brian

Dublin Core

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  <dc:creator>Akay, Diyar</dc:creator>
  <dc:creator>Kulak, Osman</dc:creator>
  <dc:creator>Henson, Brian</dc:creator>
  <dc:date>2011-01-01</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/18951</dc:identifier>
  <dc:identifier>oai:zenodo.org:18951</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>COMPUTERS IN INDUSTRY 62(2) 138-146</dc:source>
  <dc:title>Conceptual design evaluation using interval type-2 fuzzy information axiom</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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