Results 181 to 190 of about 1,653 (205)
Neutrosophic robust ratio type estimator for estimating finite population mean. [PDF]
Alqudah MA, Zayed M, Subzar M, Wani SA.
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Smart system for forecasting financial outcomes and supporting strategic choices. [PDF]
Lang F, Liu Y.
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Compromise optimum allocation in neutrosophic multi-character survey under stratified random sampling using neutrosophic fuzzy programming. [PDF]
Ullah A +3 more
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Andean Epistemology, Ch'ixi, and Neutrosophic Logic
Maikel Y. Leyva Vázquez +1 more
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Neutrosophic Logic and Its Scientific Applications
Smart Innovation, Systems and Technologies, 2022Suneeta Mohanty, Mohanty Suneeta
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2017
Neutrosophic sets and Logic plays a significant role in approximation theory. It is a generalization of fuzzy sets and intuitionistic fuzzy set. Neutrosophic set is based on the neutrosophic philosophy in which every idea Z, has opposite denoted as anti(Z) and its neutral which is denoted as neut(Z).
Mumtaz Ali +2 more
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Neutrosophic sets and Logic plays a significant role in approximation theory. It is a generalization of fuzzy sets and intuitionistic fuzzy set. Neutrosophic set is based on the neutrosophic philosophy in which every idea Z, has opposite denoted as anti(Z) and its neutral which is denoted as neut(Z).
Mumtaz Ali +2 more
openaire +1 more source
Neutrosophic Logic Applied to Decision Making
2014Decision making addresses the usage of various methods to select “the best”, in some way, alternative strategy (from many available) when a problem is given for solving. The authors propose the usage of neutrosophic way of thinking, called also Smarandache’s logic, to select a model by experts when degrees of trustability, ultrastability (falsehood ...
Henrik Madsen +3 more
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Keynote speakers: From fuzzy logic to neutrosophic logic: A paradigme shift and logics
2017 International Conference on Intelligent Communication and Computational Techniques (ICCT), 2017Prof. LotfiAskarZadeh had revolutionized the field of logics by proposing a novel logic, Fuzzy Logic, in 1965 where there is smooth transition between different classes due to overlapping of membership functions, and each element in fuzzy set has a degree of membership.
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