Probability and statistics have been the only well-founded theories of uncertainty for a long time, while, during the last fifty years, numerous approaches either extending or proposing as an alternative to probability and statistics have been successfully developed, in such areas like decision theory, economics, artificial intelligence and information theory. These new methods have emerged in order to deal with reasoning and decision making when parameters are prone to imprecisions or vagueness due to incomplete data, human judgment, misclassification problems, and so on.
This special issue focuses on recent advances in methods dealing with reasoning under partial knowledge, enlarging the uncertainty modelling traditions towards a flexible and more specific handling of incomplete or subjective information.
The special issue is a follow-up of the conference Reasoning under partial knowledge held in Perugia on 14-15 December 2018, in honor of Giulianella Coletti’s 70th birthday. This special issue is not limited to the papers presented at the conference, but it is open to new contributions.
All submitted papers will undergo the standard review process of the journal. Authors must select VSI:RPK as the article type
when submitting your papers.
Submission Deadline: June 30, 2019
Dr. Barbara Vantaggi, University La Sapienza of Rome
Dr. Andrea Capotorti, University of Perugia
Dr. Davide Petturiti, University of Perugia