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Fuzzy Information Engineering: A Guided Tour ofApplications
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  • Wiley

More About This Title Fuzzy Information Engineering: A Guided Tour ofApplications

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DIDIER DUBOIS and HENRI PRADE are CNRS research scientists at IRIT Institute of Paul Sabatier University, in Toulouse, France.

RONALD R. YAGER is Director of the Machine Intelligence Institute at Iona College, in New Rochelle, New York.

  • English

English

Partial table of contents:

CLARIFYING INFORMATION: SENSING AND ENHANCING.

Elicitation, Pooling, and Assessment of Expert Opinion in the Possibilistic Framework (S. Sandri).

CLARIFYING INFORMATION: ABSTRACTING AND MODELING.

Learning from Imperfect Data (B. Bouchon-Meunier, et al.).

RETRIEVING INFORMATION: QUERYING.

Extending SQL Retrieval Features for the Handling of Flexible Queries (P. Bosc & O. Pivert).

A Fuzzy SQL Summary Language for Data Discovery (D. Rasmussen & R. Yager).

RETRIEVING INFORMATION: REASONING.

Fuzzy Set Methods in Inheritance Networks (R. Yager).

EXPLOITING INFORMATION: DECISION-MAKING.

Operators in Models of Decision Making (H. Zimmermann).

Risk Management with Imprecise Information (K. Engermann, et al.).

EXPLOITING INFORMATION: DESIGNING AND OPTIMIZING.

Fuzzy Scheduling: Principles and Experiments (H. Fargier).

Index.

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