Dealing with heterogeneous information in engineering evaluation processes

  • Authors:

  • Luis Martínez;Jun Liu;Da Ruan;Jian-Bo Yang

  • Affiliations:

  • Department of Computer Sciences, University of Jaén, 23071 Jaén, Spain;School of Computing and Mathematics, University of Ulster at Jordanstown, N. Ireland, United Kingdom;Belgian Nuclear Research Centre (SCK - CEN), Boeretang 200, 2400 Mol, Belgium;Manchester Business School (East), The University of Manchester, Manchester M15 6PB, United Kingdom

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2007

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Abstract

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.