Dealing with heterogeneous information in engineering evaluation processes

Luis Martínez, Jun Liu, Da Ruan, Jian Bo Yang

    Research output: Contribution to journalArticlepeer-review


    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. © 2006 Elsevier Inc. All rights reserved.
    Original languageEnglish
    Pages (from-to)1533-1542
    Number of pages9
    JournalInformation Sciences
    Issue number7
    Publication statusPublished - 1 Apr 2007


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


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