1. An apparatus for automatically generating fuzzy rules and membership functions to be supplied to a fuzzy inference system, comprising: (a) a process data collecting block means for collecting first data including operation data carried out by a well skilled operator from a process which is a controlled object of the fuzzy inference system and for storing the first data into a process data temporary area; (b) a data processing block means for calculating a second data which is not directly measured from the process, the calculating performed on the basis of the first data stored in the temporary area of the process data collecting block and for storing the calculated second data into a processed data temporary area; (c) a process data base generating block means for generating a process data base from both the first and second data stored in the respective temporary areas of the process data collecting block and the data processing block; (d) a fuzzy clustered data base generating block means for receiving third data generated in the process data base generating block and a fuzzy evaluation function and for detecting a status space satisfying the fuzzy evaluation function from the process data base so as to generate a fuzzy clustered data base; (e) a fuzzy rule generator means for adding a fuzzy label to data, including input and output variables, stored in the fuzzy clustered data base and for generating fuzzy inference rules in the format of IF.about.THEN.about., and for storing the generated fuzzy inference rules into a fuzzy inference rule file; and (f) a membership function generator means for generating membership functions corresponding to the fuzzy labels of the respective variables, using the data base generated by the fuzzy clustered data base generating block, and for storing the generated membership functions into a membership function file, wherein said process data generating means stores the process data in form of a matrix including dynamic characteristics matrix of the process in an N-order dimensional space of x1.about.Xn, wherein X1, ---, Xi, ---, Xn denotes process variables.