Name
Title | ||
|---|---|---|
Extracting complex linguistic data summaries from personnel database via simple linguistic aggregations |
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.ins.2008.12.018 | Inf. Sci. |
Keywords | Field | DocType |
fuzzy logic,personnel database,2-tuple linguistic representation model,truth degree,genetic algorithm,lowa operator,simple linguistic aggregation,linguistic term,higher truth degree,linguistic data summary,complex linguistic data summary,genetic algorithms,membership function | Deep linguistic processing,Computer science,Fuzzy logic,Artificial intelligence,Natural language processing,Operator (computer programming),Linguistics,Machine learning,Genetic algorithm | Journal |
Volume | Issue | ISSN |
179 | 14 | 0020-0255 |
Citations | PageRank | References |
17 | 0.73 | 32 |
Authors | ||
4 | ||