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Two-person zero-sum games with fuzzy payoffs are investigated on credibility space. In other word, this paper introduces the credibility measures and presents the credibility space based on it. Then, some basic characteristics of fuzzy events were given in the credibility space and the expected value of the fuzzy variables is propoed based on the credibility measures. Last, the expected model of two-person...
Many applications such as sensor networks, RFID, scientific experimental measurements, stock market prediction, information extraction, etc., need to manage uncertain data and process complex correlations among uncertain data. In probabilistic database systems, uncertain data are represented through attaching probability value to tuples, maybe attributes. Some probabilistic data models assume that...
Due to some reasons such as transmitting error or outdated or imprecise measurement, data uncertainty is an inherent property in wireless sensor networks or in LXI test framework. When we apply data mining techniques to these uncertain data, we must consider the uncertainty to get better data mining results. At present, most of uncertain data clustering methods assume the probability density functions...
Within the linguistic field, the phenomenon found by Fuzzy Set Theory application is called “fuzziness”. Linguistic study on fuzziness has lagged behind the multitudinous literature on vagueness and ambiguity. However, as an unconventional form of semantics and the entity of imprecision and rationality, the study of fuzziness remains a valuable area to explore. As fuzziness is a phenomenon existing...
Multi-Instance Learning (MIL) is a special scheme in machine learning. In recent research it is successfully applied in text classification problem. However, MIL is naturally semi-supervised since the instances labels are unknown for positive bags, which would cut down the accuracy of predictors, or require more computational cost to reduce uncertainty, or to guess such labels at a high probability...
An expected utility model is proposed to measure the utility toward fuzzy wealth. Some properties and concepts, such as certainty equivalence are analyzed. Based on maximizing the expected utility, some models are given to consider how to form an optimal portfolio: the first problem on investing in a crisp asset and an uncertainty asset with fuzzy value, the second problem on investing in a set of...
The climate change scenarios developed by the Intergovernmental Panel on Climate Change (IPCC) indicate a wide range of future concentration of greenhouse gases and the corresponding range of temperature increases. From these data, it can be inferred that higher temperature increases are directly related to higher emission levels of greenhouse gases and to the increase in their atmospheric concentrations...
Bow action usually expresses human respect intention. The process of human bow is companied with fuzziness and randomness. Current control methods for virtual human's bow cannot describe the uncertainties. A cloud model based method is proposed to control virtual human's bow action. The method can describe the two uncertainties in the process of bow indicating respect intention. Clouds of maximal...
Tree Augmented Naïve Bayes Network (TAN) classifier has shown excellent performance in Machine Learning and Data Mining in spite of the assumption of one- dependence of attributes. This paper proposes a new approach of classification under the possibilistic network (PN) framework with TAN, named tree augmented naïve possibilistic network classifier (TANPC), which combines the advantages of the PN...
The contribution sketches some ways of how to introduce uncertainty into grammar systems - a syntactic grammar theoretical framework for dealing with decentralized cooperating information processing systems - using the basic concepts of fuzzy set theory.
This paper discusses the uncertain portfolio selection problem for the insurer. A new model is proposed assuming that the return rates of risky securities are uncertain variables. Then the crisp forms of the model are given. Finally, each result of two numerical examples shows the application of the model.
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