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Information Processing and Management of Uncertainty in Knowledge-Based Systems
Author(s) -
MarieJeanne Lesot,
Susana M. Vieira,
Marek Reformat,
João Paulo Carvalho,
Anna Wilbik,
Bernadette BouchonMeunier,
Ronald R. Yager
Publication year - 2020
Publication title -
communications in computer and information science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.16
H-Index - 51
eISSN - 1865-0937
pISSN - 1865-0929
DOI - 10.1007/978-3-030-50143-3
Subject(s) - computer science , knowledge representation and reasoning , semantics (computer science) , fuzzy logic , artificial intelligence , representation (politics) , knowledge acquisition , information retrieval , natural language processing , machine learning , programming language , politics , law , political science
This presentation introduces the theory leading to solution methods for differential algebraic equations (DAEs) under interval uncertainty in which the uncertainty is in the initial conditions of the differential equation and/or the entries of the coefficients of the differential equation and algebraic restrictions. While we restrict these uncertainties to be intervals, other types of uncertains like generalized uncertainties such as fuzzy intervals are done in a similar manner albeit leading to more complex analyses. Linear constant coefficient DAEs and then interval linear constant coefficient problems will illustrate both the theoretically challenges and solution approaches. The way the interval uncertainty is handled is novel and serves as a basis for more general uncertainty analysis.

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