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Algebraic Structures of Neutrosophic Triplets, Neutrosophic Duplets, or Neutrosophic Multisets


Menge:  Stück  
Produktinformationen
cover
cover
Artikel-Nr.:
     858A-9783038973843
Hersteller:
     MDPI
Herst.-Nr.:
     9783038973843
EAN/GTIN:
     9783038973843
Suchbegriffe:
Mathematik-Bücher
Mathematikbücher - englischsprachig
mathematikbücher - englischsprachig
Neutrosophy (1995) is a new branch of philosophy that studies triads of the form (, , ), where is an entity {i.e. element, concept, idea, theory, logical proposition, etc.}, is the opposite of , while is the neutral (or indeterminate) between them, i.e., neither nor .Based on neutrosophy, the neutrosophic triplets were founded, which have a similar form (x, neut(x), anti(x)), that satisfy several axioms, for each element x in a given set.This collective book presents original research papers by many neutrosophic researchers from around the world, that report on the state-of-the-art and recent advancements of neutrosophic triplets, neutrosophic duplets, neutrosophic multisets and their algebraic structures - that have been defined recently in 2016 but have gained interest from world researchers. Connections between classical algebraic structures and neutrosophic triplet / duplet / multiset structures are also studied. And numerous neutrosophic applications in various fields, such as: multi-criteria decision making, image segmentation, medical diagnosis, fault diagnosis, clustering data, neutrosophic probability, human resource management, strategic planning, forecasting model, multi-granulation, supplier selection problems, typhoon disaster evaluation, skin lesson detection, mining algorithm for big data analysis, etc.
Weitere Informationen:
Author:
Florentin Smarandache; Xiaohong Zhang; Mumtaz Ali
Verlag:
MDPI
Sprache:
eng
Weitere Suchbegriffe: neutrosophy; neutrosophic set; neutrosophic logic, generalized aggregation operators, interval neutrosophic set (INS), multi-attribute decision making (MADM), Choquet integral, fuzzy measure, clustering algorithm, neutrosophic association rule, data mining, neutrosophic sets, big data
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