Building natural language generation systems
Building natural language generation systems
Eliciting and analyzing expert judgment: a practical guide
Eliciting and analyzing expert judgment: a practical guide
Modern Control Engineering
Fuzzy summaries in database mining
CAIA '95 Proceedings of the 11th Conference on Artificial Intelligence for Applications
Fuzzy Quantifiers: A Computational Theory (Studies in Fuzziness and Soft Computing) (Studies in Fuzziness and Soft Computing)
Sensory evaluation based on linguistic decision analysis
International Journal of Approximate Reasoning
A fuzzy linguistic model to evaluate the quality of Web sites that store XML documents
International Journal of Approximate Reasoning
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Knowledge elicitation for performance assessment in a computerized surgical training system
Applied Soft Computing
Toward Human Level Machine Intelligence - Is It Achievable? The Need for a Paradigm Shift
IEEE Computational Intelligence Magazine
Predicting the effects of cellular-phone dialing on driver performance
Cognitive Systems Research
A tool for linguistic assessment of rehabilitation exercises
Applied Soft Computing
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Linguistic data summarization targets the description of patterns emerging in data by means of linguistic expressions. Just as human beings do, computers can use natural language to represent and fuse heterogeneous data in a multi criteria decision making environment. Linguistic data description is particularly well suited for applications in which there is a necessity of understanding data at different levels of expertise or human-computer interaction is involved. In this paper, an application for the linguistic descriptions of driving activity in a simulation environment has been developed. In order to ensure safe driving practices, all new onboard devices in transportation systems need to be evaluated. Work performed in this application paper will be used for the automatic evaluation of onboard devices. Based on Fuzzy Logic, and as a contribution to Computational Theory of Perceptions, the proposed solution is part of our research on granular linguistic models of phenomena. The application generates a set of valid sentences describing the quality of driving. Then a relevancy analysis is performed in order to compile the most representative and suitable statements in a final report. Real time-series data from a vehicle simulator have been used to evaluate the performance of the presented application in the framework of a real project.