P(Z) logic offers a new way to reason about vagueness (ie fuzziness), that treats fuzziness as degrees, distinct from probabilities. One then applies probability distributions over fuzziness. This approach is different from both classical fuzzy logic [26] and possibility theory [1]. P(Z) logic is specially designed for common-sense reasoning.

The use of different probability distributions as described by the Exponential, Pareto, Lognormal, Rayleigh, and Gama probability functions applied to estimation the time of the next great earthquake (Ms≥6.0) in different seismotectonic provinces of Iran. This prediction is based on the information about past earthquake occurrences in the given region and the basic assumption that future seismi...

The use of discrete probabilistic distributions is relevant to many practical tasks, especially in present-day situations where the data on distribution are insufficient and expert knowledge evaluations only instruments for restoration probability distributions. However, such cases, uncertainty arises, it becomes necessary build suitable approaches overcome it. In this direction, paper discusse...

Recently, the notation of a negation probability distribution was introduced. The need for such arises when knowledge-based system can use terms like NOT HIGH, where HIGH is represented by (pd). For example, PROFIT or PRICE be considered. application this in Dempster–Shafer theory considered many works. Although several negations distributions have been proposed, it not clear how to construct o...