Current needs of industry required the development of advanced database models like active mobile database systems. An active mobile database system can be designed by incorporation of triggering rules into a mobile computing environment in which the users are able to access a collection of database services using mobile and non-mobile computers at any location. Fuzzy concepts are adapted to th...

In this paper we introduce attribute-oriented induction with partial vote propagation – a new approach allowing acquisition of generalized knowledge from uncertain data. We utilize a proximity-based fuzzy relational database as the medium carrying the original information, where the lack of precise information about an entity is reflected via insertion of multiple attribute values, and the fuzz...

A method based on grey relational analysis and D-S theory of evidence is proposed for fuzzy soft sets in decision making. Firstly, grey relational analysis is used to calculate grey mean relational degrees and determine uncertain degrees of parameters. Then based on uncertain degrees, suitable mass functions of different independent alternatives with different parameters can be constructed. Nex...

Hardware-software partitioning in an embedded multiprocessor field programmable gate array (FPGA) system is difficult as such systems are uncertain and constraints are various. Moreover, the effect of relational degree for each partitioning combination of system constraints is too difficult analysis to determine a partitioning result. This work applies grey relational analysis to identify a par...

We propose a practical approach to the progressive processing of (FWR) XQuery queries on multiple XML streams, called Twig’n Join (or TnJ). The query is decomposed into a query plan combining several twig queries on the individual streams, followed by a multi-way join and a final twig query. The processing is itself accordingly decomposed into three pipelined stages progressively producing stre...

Massive graphs arise in any application where there is data about both basic entities and the relationships between these entities, e.g., web-pages and hyperlinks; neurons and synapses; papers and citations; IP addresses and network flows; people and their friendships. Graphs have also become the de facto standard for representing many types of highly structured data. However, the sheer size of...

we propose a robot knowledge management system deal with various data spectrum from sensor level to contextual level and to provide inference mechanisms to cover partial and uncertain sensor data as well as well-formed symbolic information. Robot knowledge is represented with ontology. Moreover, relational model is used not only for data management but also for ontology and its inference.