Implementation of fuzzy clustering using FUZZY ENVIRON

FUZZY ENVIRON is a software tool that provides for a congenial programming environment for applications of fuzzy sets. Availability of a fuzzy library equipped with some of the commonly used fuzzy operations, a menu driven user interface, an online help manual, and provision to redirect the system to a C/Prolog environment to permit program development in C or Prolog are some of the features of this tool. The author discusses the implementation of a fuzzy clustering algorithm using FUZZY ENVIRON. The algorithm, developed by R.T. Yeh and S.Y. Bang (1975), deals with the problem of grouping of individuals into clusters when the measure of possession of characteristics by the individuals is fuzzy. The implementation of the algorithm using FUZZY ENVIRON has not only resulted in the program development being less tedious, but also in the program being less complex