5 resultados para distribution (probability theory)

em Universidade Federal do Rio Grande do Norte(UFRN)


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The idea of considering imprecision in probabilities is old, beginning with the Booles George work, who in 1854 wanted to reconcile the classical logic, which allows the modeling of complete ignorance, with probabilities. In 1921, John Maynard Keynes in his book made explicit use of intervals to represent the imprecision in probabilities. But only from the work ofWalley in 1991 that were established principles that should be respected by a probability theory that deals with inaccuracies. With the emergence of the theory of fuzzy sets by Lotfi Zadeh in 1965, there is another way of dealing with uncertainty and imprecision of concepts. Quickly, they began to propose several ways to consider the ideas of Zadeh in probabilities, to deal with inaccuracies, either in the events associated with the probabilities or in the values of probabilities. In particular, James Buckley, from 2003 begins to develop a probability theory in which the fuzzy values of the probabilities are fuzzy numbers. This fuzzy probability, follows analogous principles to Walley imprecise probabilities. On the other hand, the uses of real numbers between 0 and 1 as truth degrees, as originally proposed by Zadeh, has the drawback to use very precise values for dealing with uncertainties (as one can distinguish a fairly element satisfies a property with a 0.423 level of something that meets with grade 0.424?). This motivated the development of several extensions of fuzzy set theory which includes some kind of inaccuracy. This work consider the Krassimir Atanassov extension proposed in 1983, which add an extra degree of uncertainty to model the moment of hesitation to assign the membership degree, and therefore a value indicate the degree to which the object belongs to the set while the other, the degree to which it not belongs to the set. In the Zadeh fuzzy set theory, this non membership degree is, by default, the complement of the membership degree. Thus, in this approach the non-membership degree is somehow independent of the membership degree, and this difference between the non-membership degree and the complement of the membership degree reveals the hesitation at the moment to assign a membership degree. This new extension today is called of Atanassov s intuitionistic fuzzy sets theory. It is worth noting that the term intuitionistic here has no relation to the term intuitionistic as known in the context of intuitionistic logic. In this work, will be developed two proposals for interval probability: the restricted interval probability and the unrestricted interval probability, are also introduced two notions of fuzzy probability: the constrained fuzzy probability and the unconstrained fuzzy probability and will eventually be introduced two notions of intuitionistic fuzzy probability: the restricted intuitionistic fuzzy probability and the unrestricted intuitionistic fuzzy probability

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The following work is to interpret and analyze the problem of induction under a vision founded on set theory and probability theory as a basis for solution of its negative philosophical implications related to the systems of inductive logic in general. Due to the importance of the problem and the relatively recent developments in these fields of knowledge (early 20th century), as well as the visible relations between them and the process of inductive inference, it has been opened a field of relatively unexplored and promising possibilities. The key point of the study consists in modeling the information acquisition process using concepts of set theory, followed by a treatment using probability theory. Throughout the study it was identified as a major obstacle to the probabilistic justification, both: the problem of defining the concept of probability and that of rationality, as well as the subtle connection between the two. This finding called for a greater care in choosing the criterion of rationality to be considered in order to facilitate the treatment of the problem through such specific situations, but without losing their original characteristics so that the conclusions can be extended to classic cases such as the question about the continuity of the sunrise

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The present dissertation, elaborated is based on the deductive method, through the use of the General Theory of Resources concepts, by the main types of judgments existing in the Code of Civil Procedure, the interlocutory judgment and sentence, as well as the features and effects that challenge these decisions, we sought to identify on this theme one of the greatest evils facing the justice system in the world, which is the processing delays. This slowness in adjudication affects seriously the principle of effectiveness, one of the postulates of procedural law and society as a whole. Thus, the use of tort serves to fight the interlocutory decision and appeal which challenges the judge`s ruling. It is a resource for excellence in appellate system as it meets with the most awaited decision of the process. In weighing the importance of the appeal that seeks to oppose the court decision today by the numerous reforms that the procedural system has been through, it has ended up to transform the process ineffective or inconsistent, for it is much easier to have efficacy in a interlocutory decision for preliminary injunction than by judgment on the merits of the judge. This is due to the prevision of the resources and their effect to those decisions. That is, the interlocutory decision involves interlocutory appeal only in the devolved effect, allowing its provisional execution, and the sentence has as recourse to appeal the double effect, remanding and suspension, which necessarily prevents its provisional execution. But it undeniably shows a paradox, because as to give effect to a measure that is based on a mere probability by a summary cognition, partial and superficial, and stop it on a decision by a court that is closer to the truth and sure, for a full and depleting cognition? It is seriously affect the principle of effectiveness. Therefore, starting from this ineffectiveness, sought to defend the solution of this problem with the approval of the bill n. º 3.605/2004 or the new Code of Civil Procedure project that modifies the general rule the effects of appeal. That is, remanding and suspensive, as to merely remanding effect to and thereby enable the provisional execution of the judgment of the court of the first degree of jurisdiction, giving effectiveness and enhancing the decision of the magistrate, making a fair distribution of time in the process and better guaranteed principle of access to justice

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Currently, one of the biggest challenges for the field of data mining is to perform cluster analysis on complex data. Several techniques have been proposed but, in general, they can only achieve good results within specific areas providing no consensus of what would be the best way to group this kind of data. In general, these techniques fail due to non-realistic assumptions about the true probability distribution of the data. Based on this, this thesis proposes a new measure based on Cross Information Potential that uses representative points of the dataset and statistics extracted directly from data to measure the interaction between groups. The proposed approach allows us to use all advantages of this information-theoretic descriptor and solves the limitations imposed on it by its own nature. From this, two cost functions and three algorithms have been proposed to perform cluster analysis. As the use of Information Theory captures the relationship between different patterns, regardless of assumptions about the nature of this relationship, the proposed approach was able to achieve a better performance than the main algorithms in literature. These results apply to the context of synthetic data designed to test the algorithms in specific situations and to real data extracted from problems of different fields

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In this work we study a new risk model for a firm which is sensitive to its credit quality, proposed by Yang(2003): Are obtained recursive equations for finite time ruin probability and distribution of ruin time and Volterra type integral equation systems for ultimate ruin probability, severity of ruin and distribution of surplus before and after ruin