Ebook: Modelling with Words: Learning, Fusion, and Reasoning within a Formal Linguistic Represntation Framework
- Genre: Education
- Tags: Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Mathematical Logic and Formal Languages, Database Management, Information Storage and Retrieval, Simulation and Modeling
- Series: Lecture Notes in Computer Science 2873 : Lecture Notes in Artificial Intelligence
- Year: 2003
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh.
This book is an authoritative collection of key contributions to the new concept of Modelling with Words. 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
Modeling with words is an emerging modeling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh.
This book is an authoritative collection of key contributions to the new concept of Modeling with words. A wide range of issues in systems modeling 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 modeling