Human-centered methods for applications of fuzzy probabilities in intelligent systems

摘要

The paper introduces a synthetic metamethod SMM which is aimed at automation of fuzzy perceptions approval. Also the considered methods are applicable in creative processes concerning different types of intelligent systems. The metamethod is based on an analysis of incoming perception-oriented knowledge and a successive check in the domain. The proposed main methods -^sSMM, INCONSISTENCY, FUNNEL, and CROSSWORD - interact on a competitive principle. Two additional methods, FRONTAL and CALEIDOSCOPE, also can be put in the same group. A research is going on for the possibilities of including methods by other scientists under the general control of SMM. An evolution of the solution is used in cases of applications in environments poor of knowledge or of missing precise orientation to the final solution. The approval of fuzzy probabilities frequently needs an act of creation especially if it is applied in a knowledge-poor environment. It is shown that even in this case the creative processes are based on applications of clear and well-formalized methods included in many different sophisticated combinations.