TY - GEN AU - Vladutescu,Stefan AU - Colhon,Mihaela AU - Vladutescu,Stefan AU - Colhon,Mihaela TI - New Challenges in Neutrosophic Theory and Applications SN - books978-3-03943-289-9 PY - 2020/// CY - Basel, Switzerland PB - MDPI - Multidisciplinary Digital Publishing Institute KW - Research & information: general KW - bicssc KW - Mathematics & science KW - neutrosophic topology KW - neutrosophic generalized topology KW - neutrosophic generalized pre-closed sets KW - neutrosophic generalized pre-open sets KW - neutrosophic p T 1 2 space KW - neutrosophic g p T 1 2 space KW - generalized neutrosophic compact and generalized neutrosophic compact KW - fuzzy operating characteristic curve KW - fuzzy OC band KW - Birnbaum-Sunders distribution KW - single acceptance sampling plan KW - aggregation operator KW - decision making KW - neutrosophic soft expert sets KW - neutrosophic soft expert multiset KW - neutrosophic sets KW - neutrosophic multisets KW - neutrosophic multigroups KW - neutrosophic multisubgroups KW - bipolar neutrosophic number (BNN) KW - BNN improved generalized weighted HM (BNNIGWHM) operator KW - BNN improved generalized weighted geometry HM (BNNIGWGHM) operator KW - decision-making KW - neutrosophic cubic set KW - neutrosophic cubic hybrid geometric operator KW - neutrosophic cubic Einstein hybrid geometric operator KW - multiattributedecision-making (MADM) KW - neutrosophic set KW - Zhang-Zhang’s YinYang bipolar fuzzy set KW - single-valued bipolar neutrosophic set KW - bipolar fuzzy set KW - YinYang bipolar fuzzy set KW - multiple attribute group decision making (MAGDM) KW - Linguistic neutrosophic KW - LNN Einstein weighted-average operator KW - LNN Einstein weighted-geometry (LNNEWG) operator KW - semi-idempotent KW - neutrosophic rings KW - modulo neutrosophic rings KW - neutrosophic semi-idempotent KW - neutrosophic ring KW - neutrosophic triplets KW - idemponents KW - special neutrosophic triplets KW - acceptance number KW - neutrosophic approach KW - operating characteristics KW - risks KW - sample size KW - probabilistic neutrosophic hesitant fuzzy set KW - distance measure KW - similarity measure KW - entropy measure KW - multi-criteria decision-making (MCDM) KW - Neutrosophic Quadruple (NQ) KW - Neutrosophic Quadruple set KW - NQ vector spaces KW - NQ linear algebras KW - NQ basis KW - orthogonal or dual NQ vector subspaces KW - similarity index KW - diagnosis KW - process KW - indeterminacy KW - neutrosophic statistics KW - time-truncated test KW - Weibull distribution KW - risk KW - uncertainty KW - neutrosophic KW - neutrosophic logic KW - fuzzy logic KW - control chart KW - neutrosophic numbers KW - monitoring KW - financial assets KW - neutrosophicportfolio KW - neutrosophic portfolio return KW - neutrosophic portfolio risk KW - neutrosophic covariance KW - Abel-Grassmann’s neutrosophic extended triplet loop KW - generalized Abel-Grassmann’s neutrosophic extended triplet loop KW - strong inverse AG-groupoid KW - quasi strong inverse AG-groupoid KW - quasi Clifford AG-groupoid KW - semigroup KW - CA-groupoid KW - regular CA-groupoid KW - neutrosophic extended triplet (NET) KW - Green relation KW - multi-attribute group decision-making KW - granular computing KW - interval-valued neutrosophic information KW - multigranulation probabilistic models KW - merger and acquisition target selections KW - dynamic neutrosophic environment KW - dynamic interval-valued neutrosophic set KW - unknown weight information KW - single-valued neutrosophic linguistic set KW - combined weighted KW - logarithmic distance measure KW - supplier selection KW - fresh aquatic products KW - MAGDM N1 - Open Access N2 - Neutrosophic theory has representatives on all continent sand, therefore, it can be said to be a universal theory. On the other hand, according to the two volumes of “The Encyclopedia of Neutrosophic Researchers” (2016, 2018) about 150 researchers from 37 countries apply the idea and the neutrosophic method. Neutrosophic theory was founded by Professor Florentin Smarandache in 1998; it constitutes further generalization of fuzzy and intuitionistic fuzzy theories. The key distinction between the neutrosophic set/logic and other types of sets/logics consists of the introduction of the degree of indeterminacy/neutrality (I) as independent component in the neutrosophic set. Thus, neutrosophic theory involves the degree of membership-truth (T), the degree of indeterminacy (I), and the degree of non-membership-falsehood (F). In recent years, the field of neutrosophic set, logic, measure, probability and statistics, precalculus and calculus etc. and their applications in multiple fields have been extended and applied in various fields, such as communication, management and information technology. The present volume gathers the latest neutrosophic techniques, methodologies or mixed approaches, being thus a barometer of the neutrosophic research in 2020 UR - https://mdpi.com/books/pdfview/book/3000 UR - https://directory.doabooks.org/handle/20.500.12854/69227 ER -