Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Session: Information Retrieval
12 articles
Proceedings Article
Learning possibilistic networks from data: a survey
Maroua Haddad, Philippe Leray, Nahla B. Amor
Possibilistic networks are important tools for modelling and reasoning, especially in the presence of imprecise and/or uncertain information. These graphical models have been successfully used in several real applications. Since their construction by experts is complex and time consuming, several researchers...
Proceedings Article
Revisiting the formal foundation of Probabilistic Databases
Brend Wanders, Maurice Van Keulen
One of the core problems in soft computing is dealing with uncertainty in data. In this paper, we revisit the formal foundation of a class of probabilistic databases with the purpose to (1) obtain data model independence, (2) separate metadata on uncertainty and probabilities from the raw data, (3) better...
Proceedings Article
Algorithm for simultaneous defuzzification under constraints: shifted mean-max
Jörg Verstraete
In this article, we present an algorithm for defuzzifying multiple fuzzy sets simultaneously, where the defuzzified values are bound by a constraint. The algorithm aims at maximizing the lowest membership grade of the defuzzified values in each fuzzy set, while satisfying the constraint. In the examples,...
Proceedings Article
Recommending scientific papers through a method based on bibliometric measures
Álvaro Tejada-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
We present a quality-based fuzzy linguistic recommender system for researchers. We propose the use of some bibliometrics measures as the way to quantify the quality of both items and users. The system takes into account the measured quality as the main factor for the re-ranking of the top-N recommendations...
Proceedings Article
An Extension of Fuzzy Deformable Prototypes for predicting student performance on Web-based Tutoring Systems
M. Rosario Vázquez, Francisco P. Romero, Jorge Ruiz-Vanoye, Jose A. Olivas, Jesus Serrano-Guerrero
This paper presents an extension of Fuzzy Deformable Prototypes (FDPs) based on the use of interval type-2 fuzzy sets. The aim is to improve FDPs’ capabilities for managing uncertainty and imprecision. This extension is applied to predict the academic performance of the students who make use of Web-based...
Proceedings Article
Rough Classification in Incomplete Databases by Correlation Clustering
Laszlo Aszalos, Tamás Mihálydeák
In the context of data mining, missing data can be handled in several ways. The most common is the artificial construction of missing data, but we can predict it, or transform the whole database in a fuzzy way. In this article we propose a different approach: we extend our rough classification to incomplete...
Proceedings Article
Context-Aware Fuzzy Databases: An application
José Tomás Cadenas, Nicolas Marin, M. Amparo Vila
The way human beings communicate is contextdependent and it is not easily reproduced on traditional computer systems. We propose combined advances in Context-aware Computing and Fuzzy Databases with the aim of producing more intelligent, flexible and personalized systems. We focus on the interaction...
Proceedings Article
Contextual bipolar queries: “or if impossible” operator case
Slawomir Zadrozny, Janusz Kacprzyk, Mateusz Dziedzic
Bipolar queries consist of negative and positive conditions specifying the features that are making data sought, respectively, rejected and accepted. A possible strategy to evaluate such bipolar queries is to combine matching degrees of both conditions using the and possibly operator. We studied this...
Proceedings Article
Indexing Uncertain Categorical Data over Distributed Environment
Adel Benaissa, Salima Benbernou, Mourad Ouziri, Soror Sahri
Today, a large amount of uncertain data is produced by several applications where the management systems of traditional databases incuding indexing methods are not suitable to handle such type of data. In this paper, we propose an inverted based index method for effciently searching uncertain categorical...
Proceedings Article
An Approach for Uncertainty Aggregation using Generalised Conjunction/Disjunction Aggregators
Robin De Mol, Ana Tapia-Rosero, Guy De Tré
Decision Support Systems are often used in the area of system evaluation. The quality of the output of such a system is only as good as the quality of the data that is used as input. Uncertainty on data, if not taken into account, can lead to evaluation results that are not representative. In this paper,...
Proceedings Article
Natural Language Query Processing Framework for Biomedical Literature
Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Mimmo Parente
The availability of huge amount of biomedical literature over the Web offers a big opportunity to carry out useful information about published research results. Nevertheless, these information are often enclosed in unstructured documents stressing the need to define suitable framework to support execution...
Proceedings Article
Flexibility in Patent Search
Stefania Marrara, Gabriella Pasi
Patent Retrieval is a branch of Information Retrieval (IR) aiming to support people in retrieving patents that satisfy their information needs. Patent Retrieval is a challenging task: usual queries involve a huge number of words - often entire patent claims; moreover the style of writing a patent is...