Extracting complex linguistic data summaries from personnel database via simple linguistic aggregations

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Abstract

A linguistic data summary of a given data set is desirable and human consistent for any personnel department. To extract complex linguistic data summaries, the LOWA operator is used from fuzzy logic and some numerical examples are also provided in this paper. To obtain a complex linguistic data summary with a higher truth degree, genetic algorithms are applied to optimize the number and membership functions of linguistic terms and to select a part of truth degrees for aggregations, in which linguistic terms are represented by the 2-tuple linguistic representation model.

Details

Original languageEnglish
Pages (from-to)2325-2332
JournalInformation Sciences
Volume179
Issue number14
DOIs
Publication statusPublished - May 2009

Keywords

  • Linguistic data summary, personnel database, genetic algorithms, the 2-tuple linguistic representation model

ID: 206262