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A flexible attribute-set group decision-making (FAST-GDM) problem boils down to finding the most suitable option(s) with a general …

Evaluating flexible criteria on data leads to degrees of satisfaction. If a datum is uncertain, it can be uncertain to which degree it …

A novel consensus reaching process over alternatives having a flexible collection of attributes is proposed. In this process, a …

Experience-based evaluations (XBEs) are appraisals based on what someone has understood or learned about a topic by experience. …

Using proper social media content in decision making is an ongoing challenge for modern information management. Since such content …

Background: Recent research has provided fascinating indications and evidence that the host health is linked to its microbial …

Experience-based evaluations, i.e., evaluations resulting from what one has learned or understood about a particular topic by …

After representing experience-based evaluations as intuitionistic fuzzy sets (IFSs), one might expect that all of the existing …

Since intuitionistic fuzzy sets (IFSs) have been applied to solve problems in topics like decision-making or pattern recognition, the …

Information management systems aimed at fully exploiting imperfect temporal data require advanced data modelling and data querying …

In existing literature, many proposals have concerned the modeling or handling of imperfection in time in information systems. However, …

There are numerous automated strategies in the context of decision making, each with their own strengths and weaknesses. However, the …

In this paper, a novel assessment method for measurement of consistency of individual, text-valued attributes is proposed. The first …

Querying large databases containing imperfect data requires efficient indexing techniques. Without such techniques query processing …

When record sets become large, indexing becomes a required technique for speeding up querying. This holds for regular databases, but …

Social media makes it possible to involve a large group of people to express their opinions, but not all of these opinions are …

The complexity of a decision is related to the number of persons that are involved, as well as to the diversity of their preferences …

The ever growing capabilities of data storage systems have created the need to assess the quality of data in an efficient manner. In …

Currently, many existing information systems contain large amounts of data. Prior research shows that many of these data represent time …

In this paper, we examine how we can use data merging techniques to summarize a set of coreferent documents that has been clustered …

In a relational database, tuples are called textacutedblduplicatetextacutedbl if they describe the same real-world entity. If such …

Increased affordability and deployment of advanced tracking technologies have led researchers from various domains to analyze the …

Despite the abundance of research on knowledge discovery from moving object databases, only a limited number of studies have examined …

Databases contain data and database systems governing such databases are often intended to allow a user to query these data. On one …

An increasing number of studies demonstrate the ability of peptides to cross the blood-brain barrier (BBB), opening perspectives for a …

Which similarity measures can be used to compare two Atanassovtextquoterights intuitionistic fuzzy sets (IFSs) that respectively …

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 …

Dealing with a huge quantity of semi-structured documents and the extraction of information therefrom is an important topic that is …

One of the most important purposes of information systems is to allow human users to retrieve their data or information or knowledge …

Nowadays the amount of data is increasing very fast. Moreover, useful information is scattered over multiple sources. Therefore, …

Useful information is often scattered over multiple sources. Therefore, automatic data integration that guarantees high data quality is …

Recently a new line of research on database querying has been triggered by the observation that humans usually express their …

We propose to identify which opinions are relevant, from the decision-makertextquoterights point of view, within a large group of …

Linguistic summaries of databases provide quick insight in the stored data and are important facilities for understanding and grasping …

In the setting of relational databases, the schema of the database provides a context in which the data should be interpreted. As a …

The XPath query language offers a standard for information extraction from HTML documents. Therefore, the DOM tree represen- tation is …

To evaluate the level to which an object belongs (or not) to a particular set, say A, one could focus on some objecttextquoterights …

Database systems contain data representing properties of real-life objects or concepts. Many of these data represent time indications …

Comparing ear photographs is considered to be an important aspect of victim identification. In this paper we study how automated ear …

Fusion functions are important data integration tools that map a multiset of objects (i.e., the sources) onto a single object (i.e., …

In the past decades, the theory of possibility has been developed as a theory of uncertainty that is compatible with the theory of …

Querying a database in an intuitive way is becoming more important. Users expect their tools to present an easy-to-use interface that …

Preserving data quality is an important issue in data collection management. One of the crucial issues hereby is the detection of …

In recent years, there has been an increasing interest in dealing with user preferences in flexible database querying, expressing both …

Merge functions informally combine information from a certain universe into a solution over that same universe. This typically results …

A database represents part of reality by containing data representing properties of real objects or concepts. To many real-world …

Databases model parts of reality by containing data representing properties of real-world objects or concepts. Often, some of these …

In reality, some objects or concepts have properties with a time-variant or time-related nature. Modelling these kinds of objects or …

In this paper a new graph-based model is proposed for the representation of textual documents. Graph-structures are obtained from …

Information systems model parts of reality by representing properties of real-world objects or concepts. As real objects or concepts …

In many applications, spatial data is often prone to uncertainty and imprecision. To model this, fuzzy regions have been developed. Our …

Nowadays, tremendous information sources are preserved, ranging from those of a traditional nature like libraries and museums to new …

The widely adoption of XML as an exchange format provides syntactic interoperability between different communication partners. However, …

The problem of record linkage is a widely studied problem that aims to identify coreferent (i.e. duplicate) data in a structured data …

This paper describes a way to influence the content identification process in automatically generating multi-document summarizations of …

Rough set and fuzzy set are two frequently used approaches for modelling and reasoning about imperfect time intervals. In this paper, …

In real world, it is very common that some objects or concepts have properties with a time-variant or time-related nature. Modelling …

In many applications, spatial data need to be considered but are prone to uncertainty or imprecision. A fuzzy region - a fuzzy set over …

In many applications spatial data are considered, yet this data quite often are prone to uncertainty and imprecision. For this purpose, …

A well known problem that many sources of data nowadays cope with, is the problem of duplicate data. In general, we can represent a …

In this paper, we identify and describe fundamental logic properties of multicriteria methods for land-use suitability analysis and the …

Spatial data is quite often is prone to uncertainty and imprecision. For this purpose, fuzzy regions have been developed: they …

Quorum-sensing (QS) enables bacterial cells to establish cell-cell communication and to regulate the expression of specific genes in …

Quorum-sensing (QS) enables bacterial cells to establish cell-cell communication and to regulate the expression of specific genes in …

Identifying people using their biometric data is a problem that is getting increasingly more attention. This paper investigates a …

Temporal databases handle temporal aspects of the objects they describe with an eye to maintaining consistency regarding these temporal …

Surveillance cameras are found almost everywhere today, including vehicles for public transport. A lot of research has already been …

This paper describes the News Summarization or NEWSUM algorithm designed to automatically generate multi-document summarizations, …

Dealing with missing information in databases, either because the information is unknown or inapplicable, is a widely addressed topic …

In this paper, a new approach on text clustering is proposed. Based on the concept-relational decomposition, a set of documents can be …

The problem of detecting coreferent objects of arbitrary complexity is a challenging topic in current research. A possibilistic …

Every event has an extent in time, which is usually described by crisp time intervals. However, under some circumstances, temporal …

In this paper, we propose the concept of logically aggregated geographic suitability maps (LSP-maps). The goal of LSP-maps is to …

Making data-querying and representation easier and more human consistent is an important research topic. In this context, fuzzy logic …

In the concept of fuzzy regions we introduced before, a region was considered to be a fuzzy set of points, each having its own …

The exponential growth of the size and popularity of the world wide web has increased the interest in text analysis. One of the …

In the context of geographic information systems (GIS), points of interest (POIs) are descriptions that denote geographical locations …

In this paper a new method is proposed for automating quality control and actualisation of spatial information using image data. A new …

Information fusion is a research area that investigates how to combine information provided by independent sources into one piece of …

There has been lots of research in the field of fuzzy spatial data and the topology of fuzzy spatial objects. In this contribution, an …

A lot of disciplines (e.g. archaeology) have to process imprecise temporal information. There are different possibilities to handle …

This contribution concerns the modelling of fuzzy information in geographic databases. For this purpose, fuzzy regions and fuzzy points …

When expressing their information needs in a ( database) query, users sometimes prefer to state what has to be rejected rather than …

The comparison of sets of objects is a research topic with applications in diverse fields such as computer science, biology and …

In this paper we investigate properties of multicriteria methods that are used for building land-use suitability assessment criteria. …

Comparative evaluation operators for sets and multisets are proposed from a possibilistic point of view. In general, an evaluator …

In this paper, comparison of strings is tackled from a possibilistic point of view. Instead of using the concept of similarity between …

A concept of a bipolar query for collections of textual documents is introduced by adopting and extending recent developments in fuzzy …

In this paper we propose the concept of logically aggregated geographic suitability maps (S-maps). The goal of S-maps is to provide …

Possibilistic truth values are an elegant tool to model and reason about uncertainty concerning the (Boolean) truth value of …

In this paper we propose a new data model for imperfect geographic information: a twofold fuzzy region model; which is an extension of …

In this paper, weighted aggregation of extended possibilistic truth values will be presented. The impact of the weights on both …

Traditional databases can manage only crisp information, a limitation that also holds for geographic information systems and spatial …

Case based reasoning (CBR) is a methodology where new problems are solved by investigating, adapting and reusing solutions to a …

This paper concerns the modelling of fuzzy information in geographic databases. In the past, a theoretical model for fuzzy regions has …

Traditionally, information in geographic information systems (GIS) is represented as crisp information. While for many applications, …

Comparing objects is a very general problem domain. The way objects are compared can differ a lot, in the way objects are related to …

Many shape recognition techniques have been presented in literature, most of them from a quantitative perspective. Research has shown …

In this paper the outline of a framework for the handling of flexible querying and mining of musical audio archives is presented. This …

Every database model needs an underlying logical framework in order to support the handling of integrity constraints, database …

A constraint-based generalized object-oriented database model is adapted to manage spatio-temporal information. The presented …

This paper presents a formal framework and enhancement for the ODMG de facto standard for object-oriented databases. This framework is …

In this paper a constraint-based generalised object-oriented database model is adapted to manage spatiotemporal information. This …

This paper introduced a model based on contour lines to represent a vague region modeled as a fuzzy set. The model allows the user to …

One of the latest research topics in geographic information systems (GIS for short) is the modeling of fuzzy (imprecise or vague) …

A formal framework for the uniform representation and manipulation of fuzzy and/or uncertain data is presented. This framework can be …

This paper presents a fuzzy rule based model for the prediction of traffic noise annoyance. Several inference schemes are compared for …

This paper explains why and how spatial databases and geographic information systems can benen̆matchedfb01t from an appropriate …

A formal framework for a generalized object-oriented database model (OODB) is presented, which can be used to model fuzzy and uncertain …

This paper presents a new formal framework for a generalised object-oriented database model that is able to cope with fuzzy and …