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Information Fusion
Volume 7, Issue 1, Pages 1-156 (March 2006)
Logic-based Approaches to Information Fusion
Edited by S. Konieczny and E. Grégoire

Editorial
A special issue on logic-based approaches to information fusion
Page 1
Belur V. Dasarathy

Guest Editorial
Logic-based approaches to information fusion
Pages 2-3
Sébastien Konieczny and Éric Grégoire

Regular papers

Logic-based approaches to information fusion
Pages 4-18
Eric Grégoire and Sébastien Konieczny

Social contraction and belief negotiation
Pages 19-34
Richard Booth

An unbiased approach to iterated fusion by weakening
Pages 35-40
Éric Grégoire

Merging operators: Beyond the finite case
Pages 41-60
José Luis Chacón and Ramón Pino Pérez

Social choice theory, belief merging, and strategy-proofness
Pages 61-79
Samir Chopra, Aditya Ghose and Thomas Meyer

Reasoning with multiple-source information in a possibilistic logic
framework
Pages 80-96
Salem Benferhat and Claudio Sossai

Fusion rules for merging uncertain information
Pages 97-134
Anthony Hunter and Weiru Liu

Bipolar possibility theory in preference modeling: Representation,
fusion and optimal solutions
Pages 135-150
Salem Benferhat, Didier Dubois, Souhila Kaci and Henri Prade

Finding FUN in FUsioN—XXII
Page 151

Information Fusion Journal Reviewers 2004 - A Note of Appreciation
Pages 152-153

Articles in Press - available online
Pages 154-155