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Granular Computing
Erschienen in: Granular Computing 1/2016

01.03.2016 | Original Paper

Managing multi-granularity linguistic information in qualitative group decision making: an overview

verfasst von: Zeshui Xu, Hai Wang

Erschienen in: Granular Computing | Ausgabe 1/2016

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Abstract

Linguistic term sets are usually preferred to represent evaluations and preferences in qualitative group decision making (QGDM). Due to the different backgrounds and levels of knowledge of experts, linguistic term sets with different cardinality and/or semantics are used. Hence, it is vital to manage these linguistic terms from distinct information sources in QGDM. In this paper, we present a comprehensive review on relative developments of multi-granularity linguistic term sets by several perspectives, such as the transformation techniques, the aggregation functions, decision making processes and the applications. Finally, some possible directions for future research are pointed out as well.
Vorheriger Artikel Granular computing, computational intelligence, and the analysis of non-geometric input spaces
Nächster Artikel Multi-objective evolutionary design of granular rule-based classifiers

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Metadaten
Titel
Managing multi-granularity linguistic information in qualitative group decision making: an overview
verfasst von
Zeshui Xu
Hai Wang
Publikationsdatum
01.03.2016
Verlag
Springer International Publishing
Erschienen in
Granular Computing / Ausgabe 1/2016
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI
https://doi.org/10.1007/s41066-015-0006-x

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