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Queries posed by a user over a database do not always return the desired responses. It may sometimes result an empty set of answers especially when data are pervaded with uncertainty and imprecision. Thus, to address this problem, we propose an approach for relaxing a failing query in the context of evidential databases. The uncertainty in such databases is expressed within the belief function theory...
Non-player characters (NPCs) in games are traditionally hard-coded or dependent on pre-specified goals, and consequently struggle to behave sensibly in ever-changing and possibly unpredictable game worlds. To make them fit for new developments in procedural content generation, we introduce the principle of Coupled Empowerment Maximisation as an intrinsic motivation for game NPCs. We focus on the development...
This paper proposes an interval observer design for a large class of uncertain LTI systems. The proposed methodology estimates simultaneously the upper and lower bounds of unmeasurable states and unknown inputs. The initial model is transformed into a singular model representation without unknown input reducing the conservatism related to the propagation of uncertainties in set membership approach...
Bayesian Networks provide an established approach to classification of objects in various types of activities. These range from technical via medical to economical applications. Heterogeneous sources provide observed declarations, which are evaluated by calculating the probabilities of resulting classes based on an underlying Bayesian Network model. Applying this classification process at different...
Preference modelling based on Atanassov's intuitionistic fuzzy sets are gaining increasing relevance in the field of group decision making as they provide experts with a flexible and simple tool to express their preferences on a set of alternative options, while allowing, at the same time, to accommodate experts' preference uncertainty, which is inherent to all decision making processes. A key issue...
Research problem: This study investigates the factors influencing students' intentions to use emergency notification services to receive news about campus emergencies through short-message systems (SMS) and social network sites (SNS). Research questions: (1) What are the critical factors that influence students' intention to use SMS to receive emergency notifications? (2) What are the critical factors...
Generalized communicative suspicion (GCS) has been implicated in the deception literature as a trait that causes individuals to believe they can accurately detect deception in face-to-face settings. Separately, the online deception literature has implicated users' heuristic processing as the reason for them failing to recognize deception and falling prey to cybercrimes like phishing attacks. Such...
Capability approach is hard to operationalize and capabilities are sometimes difficult to reduce into the individual level. We describe our approach to solve these problems paired with an adequate ICT infrastructure and believe that the impact of concrete eGovernment services will become more visible and available. Citizens can inspect it, professionals can target their re-engineering on failure cases,...
The influence of the missing values in the classification of incomplete pattern mainly depends on the context. In this paper, we present a fast classification method for incomplete pattern based on the fusion of belief functions where the missing values are selectively (adaptively) estimated. At first, it is assumed that the missing information is not crucial for the classification, and the object...
In this paper, we investigate the multiple attribute group decision making (MAGDM) problems based on grey system theory and utility theory to accommodate situations where attribute values take the form of interval type-2 fuzzy sets (IT2FSs). Motivated by the idea of grey incidence analysis theory, we propose two new grey incidence degrees for aggregating the uncertain information and further extend...
The efficient management of our daily information in physical and digital information spaces is a well-known problem. Current research on personal information management (PIM) aims to understand and improve organisational and re-finding activities. We present a case study about organisational strategies in cross-media information spaces, consisting of physical as well as digital information. In contrast...
In this paper, by using the concept of gH-differentiability and Kulisch-Miranker order on intervals, we show a differential Gronwall type lemma for inteval-valued functions defined on a real compact interval T.
Outlier devices behave differently from the majority of the devices and are considered to be potentially defective. Identifying outliers has many applications in test, including defect filters for alternate test, and setting pass/fail limits for automotive domain. In previous work, outliers have been identified using single dimensional and/or static methods which does not exploit information efficiently...
The purpose of this study was to identify switching costs and examine the moderating effect of switching costs on buyer loyalty model in the B2B e-marketplace. Then a questionnaire was constructed and data were collected from 649 buyers of a Chinese B2B e-marketplace in 114 countries all over the world. Multi-group analysis was applied to examine the moderating effect of switching costs. Finally,...
Active sets are introduced in the context of providing a model to underpin mass assignment. It is argued that active sets provide an active definition of a fuzzy set where the agents providing the voting model are active and as such may modify their voting patterns depending on circumstances. We show that the model supports semantic unification and separation and therefore provides a fluid negotiating...
Maximality is a desirable property of paraconsistent logics, motivated by the aspiration to tolerate inconsistencies, but at the same time retain as much as possible from classical logic. In this paper we introduce a new, strong notion of maximal paraconsistency, which is based on possible extensions of the consequence relation of a logic. We investigate this notion in the framework of finite-valued...
In the multi-agent systems field the notion of belief as a primary justification of an agent's decisions has been extensively studied. On the other hand, the concepts of holon and informon developed by Koestler, Sulis, Alonso, Pazos et al. have proved to be a very useful way of to model evolving complex dynamic systems. In this work the relationship between holons, informons, randomness and uncertainty...
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