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...