Columbus, OH, USA: Educational Publishers (
2015)
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Abstract
Since the world is full of indeterminacy, the Neutrosophics found their place into contemporary research. We now introduce for the first time the notions of Neutrosophic Crisp Sets and Neutrosophic Topology on Crisp Sets. We develop the 2012 notion of Neutrosophic Topological Spaces and give many practical examples. Neutrosophic Science means development and applications of Neutrosophic Logic, Set, Measure, Integral, Probability etc., and their applications in any field. It is possible to define the neutrosophic measure and consequently the neutrosophic integral and neutrosophic probability in many ways, because there are various types of indeterminacies, depending on the problem we need to
solve. Indeterminacy is different from randomness. Indeterminacy can be caused by physical space, materials and type of construction, by items involved in the space, or by other factors. In 1965 [51], Zadeh generalized the concept of crisp set by introducing the concept of fuzzy set, corresponding to the situation in which there is no precisely defined set;there are increasing applications in various fields, including probability, artificial intelligence, control systems, biology and economics. Thus, developments in abstract mathematics using the idea of fuzzy sets possess sound footing. In accordance, fuzzy topological spaces were introduced by Chang [12] and Lowen [33]. After the development of fuzzy sets, much attention has been paid to the generalization of basic concepts of classical topology to fuzzy sets and accordingly developing a theory of fuzzy topology [1-58]. In 1983, the
intuitionistic fuzzy set was introduced by K. Atanassov [55, 56, 57] as a
generalization of the fuzzy set, beyond the degree of membership and the
degree of non-membership of each element. In 1999 and 2002,
Smarandache [71, 72, 73, 74] defined the notion of Neutrosophic Sets,
which is a generalization of Zadeh’s fuzzy set and Atanassov's
intuitionistic fuzzy set. Some neutrosophic concepts have been
investigated by Salama et al. [61-70]. Forwarding the study of
neutrosophic sets, this book consists of seven chapters, targeting to:
generalize the previous studies in [1-59], and[91-94] so to
define the neutrosopic crisp set and neutrosophic set
concepts;
discuss their main properties;
A. A. Salama & Florentin Smarandache
introduce and study some concepts of neutrosophic crisp
and neutrosophic topological spaces and deduce their
properties;
deduce many types of functions and give the relationships
between different neutrosophic topological spaces, which
helps to build new properties of neutrosophic topological
spaces;
stress once more the importance of Neutrosophic Ideal as a
nontrivial extension of neutrosophic set and neutrosophic
logic [71, 72, 73, 74];
propose applications on computer sciences by using
neutrosophic sets.