loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Guillaume Petiot

Affiliation: CERES, Catholic Institute of Toulouse, 31 rue de la Fonderie, Toulouse and France

Keyword(s): Data Mining, Formal Concept Analysis, Possibility Theory, Uncertain Logical Gates.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Structured Data Analysis and Statistical Methods ; Symbolic Systems

Abstract: Formal Concept Analysis (FCA) is an approach of data mining which consists in extracting formal concepts in order to provide a hierarchy of concepts also called a concept lattice. It is useful for understanding data. A formal concept is a set of objects which share the same properties. When the number of formal concepts is too high, it is difficult to explore all formal concepts in order to look for information. The use of a query to extract relevant information is a solution to this problem. A logical combination of Boolean criteria, which can be represented by a logical circuit, can serve as the condition of the query. In the uncertain formal context, we are not sure if the objects own a property. As a consequence, we must take into account uncertainties in the computation of formal concepts and in queries. We propose in this paper to use possibility theory to handle these uncertainties. As a result, we compute a necessity degree for each formal concept. We can use a query in which the condition can be computed by using possibilistic networks and uncertain logical gates. Finally, we illustrate our approach by the analysis of a satisfaction questionnaire for a course in bachelor. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.200.175.46

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Petiot, G. (2019). Information Retrieval in a Concept Lattice by using Uncertain Logical Gates. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KDIR; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 289-296. DOI: 10.5220/0008065902890296

@conference{kdir19,
author={Guillaume Petiot.},
title={Information Retrieval in a Concept Lattice by using Uncertain Logical Gates},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KDIR},
year={2019},
pages={289-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008065902890296},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KDIR
TI - Information Retrieval in a Concept Lattice by using Uncertain Logical Gates
SN - 978-989-758-382-7
IS - 2184-3228
AU - Petiot, G.
PY - 2019
SP - 289
EP - 296
DO - 10.5220/0008065902890296
PB - SciTePress