Authors

Drozhzhin N.

Degree	Civil Defence Academy EMERCOM of Russia
E-mail	naukalab_amchs@mail.ru
Location	Khimki
Articles	Construction of fuzzy linguistic variables using cluster data analysis The paper describes an approach for constructing fuzzy linguistic variables, based on the use of cluster analysis. The basic assumption in this method is the fact that the distance from the center of the cluster element degree of membership fuzzy set is reduced. The maximum value of membership will have a core (average) of cluster. Degree of membership of the other elements decreases linearly with distance from the cluster core. The initial set of data is divided into clusters. Each cluster corresponds to a linguistic (verbal) characteristic, which corresponds to a fuzzy linguistic variable. The normalized distance from the cluster members to its center corresponds to the degree accessory to the term: the greater the distance, the lower the degree of membership. The analytical form of the membership functions is obtained by fitting the results of cluster analysis. This approach allows you to automate the process of developing management systems with fuzzy logic. Read more...