In the last years, uncertainty management became an important aspect as the presence of uncertain data increased rapidly. Due to the several advanced technologies that have been developed to record large quantity of data continuously, resulting is a data that contain errors or may be partially complete. Instead of dealing with data uncertainty by removing it, we must deal with it as a source of...

We consider repeated games where the number of repetitions θ is unknown. The information about the uncertain duration can change during the play of the game. This is described by an uncertain duration process that defines the probability law of the signals that players receive at each stage about the duration. To each repeated game and uncertain duration process is associated the -repeated game...

In the 21st century, as technologies of perceptual recognition develops, devices of information generation begin to accurately sense, measure and monitor the physical world in real time.Complex Event Processing(CEP), which can be used to extract user level information from raw data, becomes the key part of the IoT middleware. Most of the current study of complex event processing has not focus o...

The use of maximum entropy infer­ ence in reasoning with uncertain informa­ tion is commonly justified by an information-theoretic argument. This paper discusses a possible objection to this information-theoretic justification and shows how it can be met. I then compare max­ imum entropy inference with certain other currently popular methods for uncertain rea­ soning. In making such a compariso...

the option-pricing problem is always an important part in modern finance. assuming that the stock diffusion is a constant, some literature has introduced many stock models and given corresponding option pricing formulas within the framework of the uncertainty theory. in this paper, we propose a new stock model with uncertain stock diffusion for uncertain markets. some option pricing formulas on...

In multi-attribute group decision making (MAGDM) problems, decision attributes of alternatives are often considered as with quantitative and qualitative information. Therefore decision making problems may include preference information in different formats. In this paper, a multi-attribute group decision making model based on numerical and uncertain linguistic information is investigated. Uncer...

The processing of sensory information is fundamental to the basic operation of the nervous system. Our nervous system uses this sensory information to gain knowledge of our bodies and the world around us. This knowledge is of great importance as it provides the coherent and accurate information necessary for successful motor control. Yet, all this knowledge is of an uncertain nature because we ...

In previous papers, we have presented a framework for merging structured information in XML involving uncertainty in the form of probabilities, degrees of beliefs and necessity measures [HL04,HL05a,HL05b]. In this paper, we focus on the quality of uncertain information before merging. We first provide two definitions for measuring information quality of individually inconsistent possibilistic X...

http://dx.doi.org/10.1016/j.anbehav.2015.11.015 0003-3472/© 2015 The Association for the Study of A Animals are selective about when to learn by observing others. Models predict that social information becomes less reliable in uncertain environments, and therefore animals should reduce their use of social information in these environments; however, these parameters are often difficult to manipu...