Modelling and Reasoning with Vague Concepts

• Main Author: Lawry, Jonathan (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2006.
• Series: Studies in Computational Intelligence, 12
• Subjects: Computer science.; Computers.; Mathematical statistics.; Artificial intelligence.; Pattern recognition.; Information theory.; Complexity, Computational.; Computer Science.; Theory of Computation.; Artificial Intelligence (incl. Robotics).; Complexity.; Pattern Recognition.; Information and Communication, Circuits.; Probability and Statistics in Computer Science.

Vagueness is central to the flexibility and robustness of natural language descriptions. Vague concepts are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore mo...

Table of Contents:

• Vague Concepts and Fuzzy Sets
• Label Semantics
• Multi-Dimensional and Multi-Instance Label Semantics
• Information from Vague Concepts
• Learning Linguistic Models from Data
• Fusing Knowledge and Data
• Non-Additive Appropriateness Measures.