1 Ocak 2011 Dergi makalesi Açık Erişim

Akay, Diyar; Kulak, Osman; Henson, Brian

Citation Style Language JSON

{
  "DOI": "10.1016/j.compind.2010.10.007", 
  "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.", 
  "author": [
    {
      "family": "Akay", 
      "given": " Diyar"
    }, 
    {
      "family": "Kulak", 
      "given": " Osman"
    }, 
    {
      "family": "Henson", 
      "given": " Brian"
    }
  ], 
  "container_title": "COMPUTERS IN INDUSTRY", 
  "id": "18951", 
  "issue": "2", 
  "issued": {
    "date-parts": [
      [
        2011, 
        1, 
        1
      ]
    ]
  }, 
  "page": "138-146", 
  "title": "Conceptual design evaluation using interval type-2 fuzzy information axiom", 
  "type": "article-journal", 
  "volume": "62"
}