1 Ocak 2011 Dergi makalesi Açık Erişim

Akay, Diyar; Kulak, Osman; Henson, Brian

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{
  "@context": "https://schema.org/", 
  "@id": 18951, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Gazi Univ, Dept Ind Engn, TR-06570 Ankara, Turkey", 
      "name": "Akay, Diyar"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Pamukkale Univ, Dept Ind Engn, TR-20070 Denizli, Turkey", 
      "name": "Kulak, Osman"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Univ Leeds, Dept Mech Engn, Leeds LS2 9JT, W Yorkshire, England", 
      "name": "Henson, Brian"
    }
  ], 
  "datePublished": "2011-01-01", 
  "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.", 
  "headline": "Conceptual design evaluation using interval type-2 fuzzy information axiom", 
  "identifier": 18951, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Conceptual design evaluation using interval type-2 fuzzy information axiom", 
  "url": "https://aperta.ulakbim.gov.tr/record/18951"
}