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The book treats the neuro-fuzzy-based knowledge acquisition, modeling and study of complex human-machine systems in ergonomics and human-computer interaction. For solving problems in both areas two neuro-fuzzy-based models were developed: fuzzy-knowledge-based evaluation mechanism and fuzzy backpropagation algorithm. The mathematically proved theoretical studies and their prototypical implementations are tested by case studies and empirical field studies. Four applications in different design objects in ergonomics like framework for human factors analysis of office-automation-systems, tool for quick ergonomic screening of workplaces, adaptable tool for ergonomic evaluation and design of workplaces, intelligent toolkit for creation and support of workshop production structures and four applications in human-computer interaction like method for user interface adaptation, control structure for interactive systems adaptation, usage and user modeling of user-adaptive systems, intelligent system for usability evaluation of hypermedia user interfaces are presented.