Fuzzy inference process usually involves the use of fuzzy rule base consisting in several fuzzy rules. Overall output can be obtained by aggregation of outputs of all rules. To obtain an output of individual rule the relevancy of this rule is calculated. Then the individual output is obtained from the relevancy and the consequent of the rule. Such process can be realised using an operator that ...

We argue in this paper that sophisticated mi-croplanning techniques are required even for mathematical proofs, in contrast to the belief that mathematical texts are only schematic and mechanical. We demonstrate why paraphrasing and aggregation signiicantly enhance the exibility and the coherence of the text produced. To this end, we adopted the Text Structure of Meteer as our basic representati...

Argument aggregation is the problem of combining argumentation frameworks. An argument aggregation procedure takes as input an argument framework for each agent in a system, intuitively representing the beliefs of that agent with respect to a disputed domain of discourse; the output is an argumentation framework that represents the social position on the domain of discourse. There are clear ana...

This paper compares and investigates the impact of different VaR models with conditional elliptical and stable distributed returns. In particular, we analyze some non-Gaussian VaR models and we discuss the applicability of some temporal aggregation rules. Thus, we propose and examine the performance of several VaR models: (i) an EWMA model with Student's t conditional distributions, (ii) a stab...

An ever-increasing need exists for fine-scale biodiversity occurrence records for a broad variety of research applications in biodiversity and science more generally. Even though large-scale data aggregators like GBIF serve such data in large quantities, major gaps and biases still exist, both in taxonomic coverage and in spatial coverage. To address these gaps, in this dissertation, I explored...

Although surveillance and sensor networks play a key role in Internet of Things, sensor nodes are usually vulnerable to tampering due to their widespread locations. In this letter we consider data falsification attacks where an smart attacker takes control of critical nodes within the network, including nodes serving as fusion centers. In order to face this critical security thread, we propose ...

We report on our experiences on the successful verification of a parameterized wireless fault-tolerant data aggregation protocol. We outline our verification method that involves automatic verification of a model of the node processing algorithm under system topology constraints. The presented work forms the basis for a generalization to verification rules for aggregation protocols that integra...

Common approaches to provide group recommendations are based on the aggregation of the recommendations that are provided, for each group’s member, by an individual recommendation system, using social choice functions. These techniques do not consider factor like social interactions, roles, influences, and group members’ personality that model real group’s decision-making process. Recent approac...

Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in networks with non-trivial topologies. We consider the use of this approach in logical peer networks in cfengine as a way of scaling aggregation of data to large organizations. Use of ‘deep’ network structures can lead to temp...