Managing Information Fusion with Formal Concept Analysis
Identifieur interne : 003057 ( Main/Exploration ); précédent : 003056; suivant : 003058Managing Information Fusion with Formal Concept Analysis
Auteurs : Zainab Assaghir [France] ; Mehdi Kaytoue [France] ; Amedeo Napoli [France] ; Henri Prade [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: The main problem addressed in this paper is the merging of numerical information provided by several sources (databases, experts...). Merging pieces of information into an interpretable and useful format is a tricky task even when an information fusion method is chosen. Fusion results may not be in suitable form for being used in decision analysis. This is generally due to the fact that information sources are heterogeneous and provide inconsistent information, which may lead to imprecise results. In this paper, we propose the use of Formal Concept Analysis and more specifically pattern structures for organizing the results of fusion methods. This allows us to associate any subset of sources with its information fusion result. Once a fusion operator is chosen, a concept lattice is built. With examples throughout this paper, we show that this concept lattice gives an interesting classification of fusion results. When the fusion global result is too imprecise, the method enables the users to identify what maximal subset of sources that would support a more precise and useful result. Instead of providing a unique fusion result, the method yields a structured view of partial results labelled by subsets of sources. Finally, an experiment on a real-world application has been carried out for decision aid in agricultural practices.
Url:
DOI: 10.1007/978-3-642-16292-3_12
Affiliations:
- France
- Grand Est, Lorraine (région), Midi-Pyrénées, Occitanie (région administrative)
- Toulouse, Vandœuvre-lès-Nancy
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Merging pieces of information into an interpretable and useful format is a tricky task even when an information fusion method is chosen. Fusion results may not be in suitable form for being used in decision analysis. This is generally due to the fact that information sources are heterogeneous and provide inconsistent information, which may lead to imprecise results. In this paper, we propose the use of Formal Concept Analysis and more specifically pattern structures for organizing the results of fusion methods. This allows us to associate any subset of sources with its information fusion result. Once a fusion operator is chosen, a concept lattice is built. With examples throughout this paper, we show that this concept lattice gives an interesting classification of fusion results. When the fusion global result is too imprecise, the method enables the users to identify what maximal subset of sources that would support a more precise and useful result. Instead of providing a unique fusion result, the method yields a structured view of partial results labelled by subsets of sources. Finally, an experiment on a real-world application has been carried out for decision aid in agricultural practices.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li><li>Midi-Pyrénées</li><li>Occitanie (région administrative)</li></region><settlement><li>Toulouse</li><li>Vandœuvre-lès-Nancy</li></settlement></list><tree><country name="France"><region name="Grand Est"><name sortKey="Assaghir, Zainab" sort="Assaghir, Zainab" uniqKey="Assaghir Z" first="Zainab" last="Assaghir">Zainab Assaghir</name></region><name sortKey="Assaghir, Zainab" sort="Assaghir, Zainab" uniqKey="Assaghir Z" first="Zainab" last="Assaghir">Zainab Assaghir</name><name sortKey="Kaytoue, Mehdi" sort="Kaytoue, Mehdi" uniqKey="Kaytoue M" first="Mehdi" last="Kaytoue">Mehdi Kaytoue</name><name sortKey="Kaytoue, Mehdi" sort="Kaytoue, Mehdi" uniqKey="Kaytoue M" first="Mehdi" last="Kaytoue">Mehdi Kaytoue</name><name sortKey="Napoli, Amedeo" sort="Napoli, Amedeo" uniqKey="Napoli A" first="Amedeo" last="Napoli">Amedeo Napoli</name><name sortKey="Napoli, Amedeo" sort="Napoli, Amedeo" uniqKey="Napoli A" first="Amedeo" last="Napoli">Amedeo Napoli</name><name sortKey="Prade, Henri" sort="Prade, Henri" uniqKey="Prade H" first="Henri" last="Prade">Henri Prade</name><name sortKey="Prade, Henri" sort="Prade, Henri" uniqKey="Prade H" first="Henri" last="Prade">Henri Prade</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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