期刊
COMPUTERS IN INDUSTRY
卷 62, 期 2, 页码 138-146出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.compind.2010.10.007
关键词
Conceptual design; Information axiom; Interval type-2 fuzzy sets
资金
- TUBITAK (The Scientific and Technological Research Council of Turkey)
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.
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