Probabilistic Modeling
Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series · 2017
Besides using logic-probabilistic analysis for probabilistic estimation itself, it is often necessary to consider uncertain or underdetermined information of a different nature expressed in the following forms: interval estimates, lists of possible options, hypothetical or possibilistic statements, etc. This chapter discusses methods of logic and logic-probabilistic analysis of uncertain data and knowledge by means of NTA. Using NTA, we can solve direct and inverse problems of probabilistic analysis of logical systems in multidimensional spaces with no limitations on classes of probability distributions.