Dealing with heterogeneous information in engineering evaluation processes

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  • Luis Martinez
  • Jun Liu
  • Da Ruan
  • Jian-Bo Yang

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Before selecting a design for a large engineering system several design proposals are evaluated studying different key aspects. In such a design assessment process, different criteria need to be evaluated, which can be of both of a quantitative and qualitative nature, and the knowledge provided by experts may be vague and/or incomplete. Consequently, the assessment problems may include different types of information (numerical, linguistic, interval-valued). Experts are usually forced to provide knowledge in the same domain and scale, resulting in higher levels of uncertainty. In this paper, we propose a flexible framework that can be used to model the assessment problems in different domains and scales. A fuzzy evaluation process in the proposed framework is investigated to deal with uncertainty and manage heterogeneous information in engineering evaluation processes.


Original languageEnglish
Pages (from-to)1533-1542
JournalInformation Sciences
Issue number7
Publication statusPublished - Apr 2007


  • Engineering, Evaluation processes, Heterogeneous information, Fuzzy sets, 2-Tuple fuzzy linguistic model, Decision making

ID: 258795