Conceptual design evaluation using interval type-2 fuzzy information axiom

  • Authors:

  • Diyar Akay;Osman Kulak;Brian Henson

  • Affiliations:

  • Department of Industrial Engineering, Gazi University, 06570 Ankara, Turkey;Department of Industrial Engineering, Pamukkale University, 20070 Denizli, Turkey;Department of Mechanical Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UK

  • Venue:
  • Computers in Industry
  • Year:
  • 2011

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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 (FIA) approach to incorporate IT2FSs. 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.