Conceptual design evaluation using interval type-2 fuzzy information axiom

AKAY D., Kulak O., Henson B.

COMPUTERS IN INDUSTRY, cilt.62, sa.2, ss.138-146, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 62 Sayı: 2
  • Basım Tarihi: 2011
  • Doi Numarası: 10.1016/j.compind.2010.10.007
  • Dergi Adı: COMPUTERS IN INDUSTRY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.138-146
  • Anahtar Kelimeler: Conceptual design, Information axiom, Interval type-2 fuzzy sets, PRODUCT DEVELOPMENT ENVIRONMENT, ENGINEERING DESIGN, MULTIATTRIBUTE SELECTION, DECISION-SUPPORT, LOGIC SYSTEMS, SETS, RANKING, VALIDATION, OPERATORS, WEIGHTS
  • Hacettepe Üniversitesi Adresli: Hayır

Özet

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.