Download Intelligent Systems for Information Processing: From by B. Bouchon-Meunier, L. Foulloy, Ronald R. Yager PDF

By B. Bouchon-Meunier, L. Foulloy, Ronald R. Yager

ISBN-10: 0080525652

ISBN-13: 9780080525655

ISBN-10: 0444513795

ISBN-13: 9780444513793

Clever platforms are required to augment the capacities being made to be had to us by means of the net and different desktop established applied sciences. the idea essential to support delivering ideas to tough difficulties within the building of clever platforms are mentioned. specifically, realization is paid to events within which the on hand info and information could be obscure, doubtful, incomplete or of a linguistic nature. a variety of methodologies to regulate such info are mentioned. between those are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.

One function of the publication isn't really to think about those methodologies individually, yet particularly to contemplate how they are often used cooperatively to higher signify the multiplicity of modes of data. themes within the ebook contain illustration of imperfect wisdom, basic matters in uncertainty, reasoning, details retrieval, studying and mining, in addition to quite a few applications.

Key Features:

• instruments for development of clever structures
• Contributions via international top specialists
• primary matters and functions
• New applied sciences for internet looking
• equipment for modeling doubtful details
• destiny instructions in net applied sciences
• Transversal to equipment and domains

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Extra info for Intelligent Systems for Information Processing: From Representation to Applications

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Gamerman, D. Jordan, A. Springer, H. Strickland, and D. Wade (1997). , San Francisco, CA. [6] G. De Tre and R. De Caluwe (1999). A Generalized Object-Oriented Database Model with Generalized Constraints. In Proc. of NAFIPS'99, pp. 381-386, New York, 1999. [7] M. Fayad, and Tsai, W. (1995). Object-Oriented Experiences. Communications of rheACM,38,pp. 51-53. [8] J. Grzymala-Busse (199 I ) . Managing Uncertainty in Expert Systems, Kluwer Academic Publishers, Boston. [9] J. Komorowski, Z. Pawlak, L.

6) Using the information conveyed by canonical forms, we obtain the bounds 2most - 1d C Count(tal1 n blond. 7) which may be expressed equivalently as C Count(tal1 n blond. SwedesfSwedes) is < most n 2 (2most - 1). 10) in virtue of monotonicity of most (Zadeh, 1999). Consequently, C Count(tal1 n blond. 11) and hence the answer to the question is a: (2most - 1) Swedes are tall and blond. 12) In a more general setting, the principal elements of the reasoning process are the following. 1. Question (query), q.

The type system, fs, contains literal types TI,,,,,,, which can be a base type, a collection literal type, or a structured literal type. It also contains Tab,,,,, which specifies object types, and Trcierellct, the set of specifications for reference types. In the type system, each domain do177,, E D,,, the set of domains. This domain set, along with a set of operators 41 O,, and a set of axioms A,,, capture the semantics of the type specification. The type system is then defined based on these type specifications, the set of all programs P, and the implementation function mapping each type specification for a domain onto a subset of the powerset of P that contains all the implementations for the type system.

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Intelligent Systems for Information Processing: From Representation to Applications by B. Bouchon-Meunier, L. Foulloy, Ronald R. Yager


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