Modelling and reasoning with vague concepts /
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Author / Creator: | Lawry, Jonathan, 1968- |
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Imprint: | New York : Springer, ©2006. |
Description: | 1 online resource (xvii, 246 pages) : illustrations. |
Language: | English |
Series: | Studies in computational intelligence, 1860-949X ; v. 12 Studies in computational intelligence ; v. 12. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11066877 |
ISBN: | 9780387302621 038730262X 0387290567 9780387290560 1280612290 9781280612299 9780387290567 |
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Notes: | Includes bibliographical references (pages 235-243) and index. Print version record. |
Summary: | 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 motivated by the desire to incorporate this robustness and flexibility into intelligent computer systems. Such a goal, however, requires a formal model of vague concepts that will allow us to quantify and manipulate the uncertainty resulting from their use as a means of passing information between autonomous agents. This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. The new calculus has many applications, especially in automated reasoning, learning, data analysis and information fusion. This book gives a rigorous introduction to label semantics theory, illustrated with many examples, and suggests clear operational interpretations of the proposed measures. It also provides a detailed description of how the theory can be applied in data analysis and information fusion based on a range of benchmark problems. |
Other form: | Print version: Lawry, Jonathan, 1968- Modelling and reasoning with vague concepts. New York : Springer, ©2006 0387290567 9780387290560 |
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