Uncertainty semantic

Semantic uncertainty is the type of uncertainty for which we shall need fuzzy logic. Expressed by phrases such as "acidic" or "much weaker," this is imprecision in the description of an event, state, or object rather than its measurement. Fuzzy logic offers a way to make credible deductions from uncertain statements. We shall illustrate this with a simple example. 

This chapter introduces three recent advances to the state-of-the-art, extending the abilities of attribute correspondences. Contextual attribute correspondences associate selection conditions with attribute correspondences. Semantic matching extends attribute correspondences to be specified in terms of ontological relationship. Finally, probabilistic attribute correspondences extend attribute correspondences by generating multiple possible models, modeling uncertainty about which one is correct by using probability theory. 

Hofmann, T. 1999. Probabilistic latent semantic analysis. In Uncertainty in artificial intelligence. Stockholm, Sweden. 

Prion protein nomenclature or Abandon hope all ye who enter here . There is no doubt that the nomenclamre of the TSE field can be confusing to outside observers and seasoned researchers alike. Part of this confusion arises from the genuine uncertainty that exists about the normal function (s) of PrP, the nature of TSE infectivity, and the various and variable abnormal properties of PrP most relevant to infectivity and/or TSE pathogenesis. No attempt has been made to unify the terminology used in the different chapters of this volume for two reasons. Eirst, this seems like a hopeless task. Second, it is my belief that the nomenclature in any rapidly changing field should evolve with the facts as they are revealed. This state of flux will naturally require that authors carefully define and redefine their usage of terminology from time to time. Unfortunately, it also may require that readers of literature have the patience of Job and the semantic acumen of Supreme Court justices. 

Researchers who take this semantic for the set HR see each interval as a wrapper that has information of a real number. From this point of view the multiplication of an interval X HR by itself not always has the same result that the multiplication proposed by Moore. In this approach X is always a normegative interval, since it represents the same real number. This interpretation is usually accepted in the context of interval arithmetic. According to this semantics an interval of real numbers is a real subject to uncertainties, ie... 

We can observe one more inconsistency in the use of a propriety of a set whose elements are dimensionless when extended to those with extensive features, as the Mooore distance, whose distance is a real number. In a semantic field where the interval ate used to represent uncertainties it reasonable to expect that given two intervals X and Y the distance between them be an interval of uncertainties that varies between mm de x,y) x X and y Y and max de x,y) xeX and y 6 Y. ... 

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