neutrosophic probability

neutrosophic probability

(logic)
An extended form of probability based on Neutrosophy, in which a statement is held to be t true, i indeterminate, and f false, where t, i, f are real values from the ranges T, I, F, with no restriction on T, I, F or the sum n=t+i+f.

http://gallup.unm.edu/~smarandache/NeutProb.txt.

["Neutrosophy / Neutrosophic Probability, Set, and Logic", Florentin Smarandache, American Research Press, 1998].
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References in periodicals archive ?
Neutrosophy, Neutrosophic Set, Neutrosophic Probability (third edition), American Research Press: Rehoboth, NM, USA, 1999.
[4.] Smarandache, F.: Neutrosophy, Neutrosophic Probability, Sets and Logic, Proquest Information & Learning, Ann Arbor, Michigan, USA, 105p,1998
Also, he suggested an extension of the classical probability and imprecise probability to "neutrosophic probability".
Neutrosophy is the basis of neutrosophic logic, neutrosophic probability, neutrosophic set, and neutrosophic statistics.
A cloud is a neutrosophic set, because its borders are ambiguous, and each element (water drop) belongs with a neutrosophic probability to the set (e.g.
One uses the definitions of Neutrosophic probability and Neutrosophic set operations.
Further the Smarandache neutrosophic probability bivector will be a bicolumn vector which can take entries from [-1, 1] [union] [-I, I] whose sum can lie in the biinterval [-1, 1] [union] [-I, I].
Neutrosophy: neutrosophic probability, set and logic, American Research Press, Rehoboth, (1998).
Let X be a non- empty set and Abe any type of neutrosophic crisp set on a space X, then the neutrosophic probability is a mapping NP: X [right arrow] [[0,1].sup.3], NP(A) = <{P([A.sub.1]),P([A.sub.2]),P([A.sub.3])>, that is the probability of a neutrosophic crisp set that has the properly that--
Similar generalizations are done for n-Valued Refined Neutrosophic Set, and respectively n-Valued Refined Neutrosophic Probability.
He demonstrated that the neutrosophic probability of the true price of the derivative security being given by any theoretical pricing model is obtainable as NP (H [intersection] [M.sup.C]); where NP stands for neutrosophic probability, H = {p : p is the true price determined by the theoretical pricing model }, M = {p : p is the true option price determined by the prevailing market price } and the C superscript is the complement operator.