| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 395646 | Information Sciences | 2009 | 8 Pages |
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.
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zheng Pei, Yang Xu, Da Ruan, Keyun Qin,