Journal of Japan Society for Fuzzy Theory and Systems
Online ISSN : 2432-9932
Print ISSN : 0915-647X
ISSN-L : 0915-647X
Data Linguistic Expression Method using Genetic Algorithms
Jun OZAWAKoichi YAMADA
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1995 Volume 7 Issue 5 Pages 1007-1021

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Abstract
We propose a method to express a large amount of data using combinations of linguistic labels. With this technique, we can understand the outline of data, when a large number of data are given. In general, however, the number of combinations of linguistic labels is very large and almost impossible to search the optimum combination. In addition, the criterion to evaluate the combinations of linguistic labels tends to be complex. So, we propose the method to search the optimum combination using genetic algorithm. In the proposed method, we define new genetic operations to preserve parent individual's character. When a data set is expressed in two different combinations of linguistic labels, each of which is a parent individual, a new crossover to exchange parts of the combinations is defined. A new mutation to create a new combination or to delete the combination is also defined.These genetic operations enables us to create a new combination, and we get the optimum combination, at last.We applied the proposed method to real-estate data, and show its effectiveness.
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© 1995 Japan Society for Fuzzy Theory and Intelligent Informatics
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