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The aim of such initiatives is to provide a higher quality of life, to minimize the increased pressure via information and communication technology based solutions on public issues, from building better transportation systems to supporting creative innovation, or designing energy-saving policies and so on, or planning governance and business questions and supporting decision making in enabling a smart...
Recent years have shown a surge in interest in fuzzy/temporal database systems, which allow users to store fuzzy time dependent information. Conventional relational systems are often inefficient for fuzzy temporal query processing because new characteristics are not taken into consideration. Representation and querying of temporal information can benefit from the integration of techniques from constraint...
In many applications data values are inherently uncertain. This includes moving-objects, sensors and biological databases here has been recent interest in the development of database management systems that can handle uncertain data. Some proposals for such systems include attribute values that are uncertain. In particular, an attribute value can be modeled as a range of possible values, associated...
This paper present a fuzzy temporal data model for uncertainty/implicit events more precisely, and introduce fuzzy temporal complex event value relations, which combine the concept of fuzzy temporal relations with the idea of fuzzy temporal values in a uniform framework. We elaborate a model theoretic definition of fuzzy temporal information combination strategies, which has a rigorous foundation...
This paper present a fuzzy temporal data model for uncertainty/implicit events more precisely, and introduce fuzzy temporal complex event value relations, which combine the concept of fuzzy temporal relations with the idea of fuzzy temporal values in a uniform framework. We elaborate a model theoretic definition of fuzzy temporal information combination strategies, which has a rigorous foundation...
The aim of this work is to integrate the ideas of flexibility and uncertainty into Allen's interval-based temporal logic, defining a new formalism which extends classical interval Algebra. We refer to fuzzy temporal constraint satisfaction problem, in which constraints are satisfied to a degree, which is based on fuzzy sets. The main objective of this research is the development of a temporal reasoning...
A fuzzy temporal database contains fuzzy temporal data. In fuzzy temporal database transactions have deadlines or timing constraints. This situation requires the integration of heterogeneous data in an unique platform in which time representation and management techniques should be considered. In this work, an architecture which makes possible heterogeneous data integration within a homogeneous framework...
Many users benefit from decision support systems (DSS), but sometimes they can't readily comprehend the nature or meaning of the outcome from DSS. In general, interpretation of data is much more intuitive if the results from the DSS are translated into charts, maps, and other graphical displays because visualization exploits our natural ability to recognize and understand visual patterns. In this...
Most of the database research on modeling time has concentrated on the definition of a particular temporal model and its incorporation into a (relation or object) database management system. This has resulted in quite a large number of different temporal models. Representation and querying of temporal information can benefit from the integration of techniques from constraint databases, database models...
In this paper, we propose a temporal extension to an extended ERT model and extend database temporal models to handle the fuzzy numbers. The concept of lifespan for entities and relationships is incorporated in the FTER model. We specify a fuzzy temporal query and update temporal language which is an extension from the TQuel language. The concepts of fuzzy temporal expressions, fuzzy temporal selection,...
The entity-relationship(ER) model has proved a successful conceptual capture and modeling tool modeling for the relational data model. Much effort has recently been made to extend the relational data model to describe fuzzy temporal information , but as yet little corresponding development in ER modeling has been made. In this article we present a proposal for the fuzzy sets to conceptual modeling...
In recent years, many new backtracking algorithms for solving constraint satisfaction problems have been proposed. We adopt the Probabilistic Temporal Interval Network, which is based on characterizations of the set of search tree nodes visited by the backtracking algorithms. A Temporal Interval Network is a constraint satisfaction problem where the nodes are temporal intervals and the edges are uncertain...
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