Decision making process via constraint-oriented fuzzy logic based on Chu space theory

In decision making processes, one often does not know what is the real problem, what is the requirement, and the goals are vaguely prescribed and may contradict with each other. Thus, the problem structure of decision making is covered with various kinds of vagueness, and the way of solving the problem is highly dependent on the derision maker. One cannot grasp the gist of problems if one ignore the associated vagueness which decision makers hold in his mind through his real experience. Also, decision making processes cannot be characterized only by static relations among elements in problems, but should reflect the dynamic structures that are depend on situations. In this paper, in order to deal with problems which have dynamic structures including vagueness, we propose a framework of decision making structures which involves the decision maker himself and find out scenarios for problem solving in the decision making "process", i.e., interaction between the human and environments.