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of 69
pro vyhledávání: '"Romano Scozzafava"'
Autor:
Romano Scozzafava
Publikováno v:
Ratio Mathematica, Vol 7, Iss 1, Pp 75-82 (1994)
missing
Externí odkaz:
https://doaj.org/article/1ffbb78c013a42a5a2f42f062cf92b18
Publikováno v:
Information Sciences. 245:132-145
This paper deals with the upper and lower bounds of a class of uncertainty measures endowed with particular characteristics (decomposability, monotonicity, partial additivity and so on). We consider an initial partial assessment consistent with eithe
Autor:
Giulianella Coletti, Romano Scozzafava
Publikováno v:
Computational Statistics & Data Analysis. 51:115-132
The main subject of this paper is the embedding of fuzzy set theory-and related concepts-in a coherent conditional probability scenario. This allows to deal with perception-based information-in the sense of Zadeh-and with a rigorous treatment of the
Autor:
Giulianella Coletti, Romano Scozzafava
Publikováno v:
Statistical Methods and Applications. 16:229-243
Noteworthy connections among conglomerability, countable addi- tivity and coherence are discussed in detail, reaching the conclusion that nonconglomerable conditional probabilities must not be doomed and play a significant role in statistical inferen
Autor:
Romano Scozzafava, Antonio Di Nola
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 12:781-789
Conditioning plays a central role, both from a theoretical and practical point of view, in domains such as logic and probability, or rule–based expert systems. In classical approaches to probability, there is the notion of "conditional probability"
Autor:
Romano Scozzafava, Giulianella Coletti
Publikováno v:
Fuzzy Sets and Systems. 144:227-249
We propose an interpretation of fuzzy set theory (both from a semantic and a syntactic point of view) in terms of conditional events and coherent conditional probabilities. During past years, a large number of papers has been devoted to support eithe
Autor:
Giulianella Coletti, Romano Scozzafava
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 35:151-176
Our aim is to put under the right perspective the theory of stochastic independence in the framework of coherent probability theory, taking suitably into account also events whose probability is zero or one. Moreover, in a coherent setting, upper and
Autor:
Frank Lad, Romano Scozzafava
Publikováno v:
The American Statistician. 55:131-139
We follow the lines of Bruno de Finetti's “fundamental theorem of prevision” to characterize a very large family of distributions that agree with exchangeable forecasts conditioned only on the sum of successes in a sequence of events. This agreem
Autor:
Romano Scozzafava, Giulianella Coletti
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 32:373-392
Our starting point is a definition of conditional event i>E|i>H which differs from many seemingly “similar” ones adopted in the relevant literature since 1935, starting with de Finetti. In fact, if we do not assign the same “third” value i>u
Autor:
Romano Scozzafava, Giulianella Coletti
Publikováno v:
Information Sciences. 130:41-65
We refer to an arbitrary family H ={H 1 ,H 2 ,…,H n } of events (hypotheses), i.e., H has neither any particular algebraic structure nor is a partition of the certain event Ω . We detect logical relations among the given events (the latter could r