Human factors in decision and control: Nonstandard modeling and information processing

The study of human factors is increasingly important in information science and technology for studying the foundations of man-machine systems and also for medical research and applications. The time is not yet ripe to form a complete foundation of human factors concerning human information processing, particularly the infrastructure and mechanism of brainware, but it is time to provide some—though by no means all—foundations of human factors science as explicit and well established as those for the internal dynamics of humans, and to make suggestions for human-computer interaction in decision-making analysis. In this paper the study of human factors and related topics in information science and technology is advanced through the construction of an advanced control system, namely, the triple {man, machine, environment}, and the establishment of the formalism of this complex system by using the fuzzy set theories, such as general theories of fuzzy topology, sequences of fuzzy sets, fuzzy-continuous functions, compact fuzzy spaces, lattice of continuities of fuzzy topological space, and not least, fuzzy filters. Human-factors modeling can be based on oriental medical theories, namely, the five-elements theory and the Yin-Yang theory; fuzzy set and system theories have been applied to create the analytical expression for the model. Two examples are furnished as possible applications of these ideas: a model for estimation of the human state, and one for the man-computer interaction in decision-making analysis.