Linguistic data summarization using an enhanced genetic algorithm

Carlos A. Donis-Diaz,

Rafael Bello,

Janusz Kacprzyk


This paper presents work is presented an enhanced Genetic Algorithm (GA) specifically designed for the production of linguistic data summaries. The model is able to obtain not a set of ‘good linguistic summaries’ but a ‘good set’ of summaries. The model incorporates an operator and fitness function specially designed to fulfil this aim. Experiments show how the enhanced model is able to improve results obtained with the classical model of GA and to guarantee a summary with high diversity and good values for the quality measures in individual summaries

Słowa kluczowe: Linguistic Data Summarization, Data mining, Fuzzy Logic, Genetic Algorithms

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