Fuzzy models to deal with heterogeneous information in decision making problems in engineering processes

L. Martínez, J. Liu, D. Ruan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Before implementing an engineering system in the design process are studied different proposals to evaluate and rank them. In this evaluation process several experts assess different aspects and criteria according to their knowledge and preference on them. These criteria may have different nature (quantitative, qualitative) and the experts could belong to different areas and have different knowledge on each criterium, so the assessments used to express the value on each criterium could be assessed with different types of information (numerical, linguistic, interval-valued). In such a case, to select the best proposal we must deal with this heterogeneous information to evaluate and rank the different proposals. In this contribution we show different fuzzy approaches for dealing with heterogeneous information.

Original languageEnglish
Title of host publicationApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages266-271
Number of pages6
ISBN (Print)9812388737, 9789812388735
DOIs
Publication statusPublished - 2004
EventApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference - Blankenberge, Belgium
Duration: 1 Sep 20043 Sep 2004

Publication series

NameApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference

Conference

ConferenceApplied Computational Intelligence - Proceedings of the 6th International FLINS Conference
CountryBelgium
CityBlankenberge
Period1/09/043/09/04

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