Fuzzy strategies in modeling effects of technological implementations

In our work we propose the method of steering the technological effects under assumption, that we be base on interval or fuzzy date data. Such character of data in use to technological model the von Neumana (or others) give us the possibility to compose permutation structures of technological parameters. It permits to formulate a vectors of control the technological process in larger range than in case of deterministic models [4]. On basis of created criteria functions we build the vector of intensity of growth economic effect, which permits to choose the optimal direction of investment (or modification) load.