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Modelling with Words: Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework
Published by: rapgreen (Karma: 1035.14) on 5 April 2009 | Views: 2191
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Modelling with Words can be defined in terms of the trilogy, learning, fusion and reasoning as carried out within a formal linguistic representation framework. As such this new paradigm gives rise to a number of interesting and distinct challenges within each of these three areas. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning - scaling linguistic algorithms to high-dimensional data problems - integrating linguistic expert knowledge with knowledge derived from data - identifying sound and useful inference rules - integrating fuzzy and probabilistic uncertainty in data modelling
