Modeling and Analysis of Human Control Actions Using Fuzzy Interactive Information Systems
Abstract
This paper focuses on the problem of modeling and analyzing the actions of human operators
who perform demanding tasks such as real-time control of a complex dynamic plant.
To this end, an approach that bases on the idea of interactive fuzzy information systems is proposed. In particular, we discuss the problem of selecting and generating perception and action attributes to describe the aircraft control tasks realized by a skilled pilot. A method consisting of several stages is proposed for modeling pilot-airplane interactions. The initial information system with sensory attributes is replaced with more complex attributes at subsequent stages. To determine the decision rules of the pilot, we apply flow graphs that are suitable for representing fuzzy interactive information systems and for evaluating properties and quality of the human operator's decision model.
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