Minimizing both dropped formulas and concepts in knowledge fusion

Éric Grégoire

doi:10.1117/12.664875

18 April 2006 Minimizing both dropped formulas and concepts in knowledge fusion

Éric Grégoire

Proceedings Volume 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006; 62420K (2006) https://doi.org/10.1117/12.664875
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

In this paper, a new family of approaches to fuse inconsistent knowledge sources is introduced in a standard logical setting. They combine two preference criteria to arbitrate between conflicting information: the minimization of falsified formulas and the minimization of the number of the different atoms that are involved in those formulas. Although these criteria exhibit a syntactical flavor, the approaches are semantically-defined.

Citation Download Citation

Éric Grégoire "Minimizing both dropped formulas and concepts in knowledge fusion", Proc. SPIE 6242, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, 62420K (18 April 2006); https://doi.org/10.1117/12.664875

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available