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Researchers have shown that human decision making in complex environments like cyber is a significant risk factor. Unfortunately, much work on cyber situational awareness has been technology-focused, despite the ultimate importance of human decisions, especially in crisis situations like real-time cyber-attacks and data breaches. Cybersecurity practitioners and leaders require an appropriate framework...
Emergency command and control centers (CC) are integrated facilities to assist and handle crisis situations. In these CCs, operators suffer both with information shortage and overload. This paper focuses on the information overload problem. Operators often do not have adequate access to information that may be relevant in the decision-making process. In many CC centers, information is stored without...
Attribution relies largely on technology; however, experts who rely on technology may inadvertently inject their own biases when evaluating findings. Attackers are now deceiving the analysts, by misleading them through the use of deceptive data and exploiting defender and analyst biases. One set of biases that can be objectively measured is cultural bias. Cultural biases are so firmly engrained that...
The multi-agent system paradigm has proved to be very promising for solving complex problems because agents are able to behave autonomously and cooperate to achieve common goals without the need of a central authority. However, sometimes the need to introduce a control on a society of agents is observed in order to make them operate under a set of rules, as in a human society. Several studies have...
Supporting group decision-making is a complex process, especially when decision-makers have no opportunity to gather at the same place and at the same time. Besides that, finding solutions may be difficult in case agents representing decision-makers are not able to understand the process and support them accordingly. In this work we present some topics of information that can be reported to decision-makers...
A self-governing institution designed according to Ostrom's principles provides a way for its members to self-organise the management and sustainability of common-pool resources. Such institutions have been studied as a form of social capital, used as an input to a decision-making framework for coordination in various collective action situations. It has been shown that formally representing and reasoning...
With the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this paper we present a summary of an case-based organizational...
Enterprise architecture (EA) offers ways to steer and guide the design and evolution of the enterprise, including its information technology (IT). One of the objectives of EA is to support IT decision-making. This study aims to provide EA researchers and practitioners with insight into the factors that influence the role of EA in IT decision- making. For this purpose, we conducted a multiple case...
Find areas and indicators of achievement where students need to reinforce their knowledge is a difficult task for teachers in schools. This article presents a decision-making support system that allows teachers to identify students with poor academic performance. The strategy is a Matrix Based Recommender System to rate assessments and share the results using statistical graphs. To validate this proposal...
Human decision-making is adversely affected by cognitive biases. In this paper we construct an example that incorporates an anchor-and-adjustment model for belief-updating when information is presented sequentially to a human. We prove that different orderings of the same information pieces impact the human decision-making by deriving closed-form expressions of the corresponding error probabilities...
To improve the inter-working of future 5G systems with existing technologies, this paper proposes a novel context-aware user-driven framework for network selection in multi-RAT environments. It relies on fuzzy logic to cope with the lack of information usually associated with the terminal side and the intrinsic randomness of the radio environment. In particular, a fuzzy logic controller first estimates...
Nowadays, majority of systems that involve some kind of decision-making process use policy-based computing where decisions are being made as a result of a policy evaluation. Policies are usually formed by system experts who describe in a specified Policy Definition Language how the system should respond to a change of its context information. However, depending on the policy complexity needed to make...
This paper is motivated by a desire to understand the role played by regret in high-stake decision making. The scenarios of interest are those which involve only sparse data being available at the time the decision needs to be made, but further data being made available subsequent to the decision, after which regret is experienced. Previous work has considered regret in scenarios where the decision...
In this paper, we propose a new approach based on belief functions for multi-criteria decision-making (MCDM) support which is inspired by the technique for order preference by similarity to ideal solution (TOPSIS). This new approach, called BF-TOPSIS (Belief Function based TOPSIS), includes four distinct methods with different computational complexities. BF-TOPSIS offers the advantage of avoiding...
This contribution explores the link between Formal Concept Analysis and non-additive set functions, called capacities, for pattern classification and decision making. Capacities can be obtained from the Concept Lattice. The use of these functions for decision making, with the help of Choquet integration, is illustrated on a two class classification problem.
Following a bio-inspired approach, applied to multilayer social networks, the idea is to build a novel paradigm aimed to improve methodologies and analysis in the Information and Communication Technologies. The social network and the multilayer structure allow to carry out an analysis of the complex patterns, in terms of the dynamics involving the main entities, nodes and data. The nodes represent...
The emergence of the Internet of Things paves the way for enhancing the monitoring capabilities of enterprises by means of extensive use of physical and virtual sensors generating a multitude of data. The generated real-time data streams provide the basis for anticipating future undesired events and thus enable enterprises to decide and act ahead of time, i.e. in a proactive manner. Proactive information...
We explore how computational ontologies can be impactful vis-à-vis the developing discipline of "data science." We posit an approach wherein management theories are represented as formal axioms, and then applied to draw inferences about data that reside in corporate databases. That is, management theories would be implemented as rules within a data analytics engine. We demonstrate a case...
In this paper, we discuss the results of a 159-participant human-subject study on peer influence in multiparty access control decisions in social network sites. Our two-part research study considers users privacy attitudes andbehaviors when choosing a privacy policy for joint content,inthe context of both synchronous and asynchronous sharing
This paper proposes solutions to the problem of voltage sags caused by distributed generators anti-islanding protection. This is a recently identified power-quality (PQ) concern resulting from the increasing penetration of distributed generators into distribution networks. This problem has been previously investigated by the authors and it was revealed that it can seriously affect PQ indices as well...
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