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It is feasible that a symbiosis of the proposed theory and Vdovin set theory [1, 2] will permit to formulate a (presumably) non-contradictory axiomatic set theory which will represent the core of Cantor set theory in a maximally full manner as to the essence and the contents.
Between roughly 1900 and 1960 CE, WIE logicians/mathematicians have both revised the foundations of the mathematical theory of sets, and then performed a set theory analysis of every other known branch of WIE mathematics.
The Edit1RS and Edit2RS algorithms based on the rough set theory are characterized in the following way:
These generalizations are obtained by replacing the additivity requirement of probability measures with the weaker requirement of monotonicity of measures theories, but they are still formalized within the language of classical set theory.
(In fact, in set theory any set may be considered a subset of itself.) In terms of Lewisean universals, the inaccessibility of two possible worlds at some point--{ the earth does not move}, for instance--means that the two possible worlds do not form an intersection at that point: {c, d} falls outside the intersection of {a, b, c, d} and {a, b}.
Again, the problem is common to all of these disciplines and by no means occurs just in rough set theory. Fortunately, rough set theory offers algorithms with polynomial time complexity and space complexity with respect to the number of attributes and the number of cases.
There are mathematicians and computer scientists who find untyped set theory to be completely natural.
I reject the idea that a move to intuitionist logic can resolve the problems of set theory. In the concluding section, however, it is argued that if one wishes to avoid a destructive semantic nihilism one ought indeed to identify as the villain of the piece not the set theory but the logic used in the derivation of the antinomies, in particular the structural rather than the operational rules of classical logic.
He added that the theme of the conference will cover the major areas of Mathematical sciences such as; Functional Analysis and its Applications, Fluid Dynamics, Fuzzy logic, Topological Vector Spaces and Nonlinear Operator Theory, Best Approximations Theory, Soft Set Theory, Graph Theory, Algebra and more.
The purpose of this paper is to present an uncertainty management model that applies fuzzy set theory to these indicators.
Soft\fuzzy set theory and statistical approaches were used for air craft selection and probability of destruction respectively.