LEADER 07421nam 2201621z- 450 001 9910557739203321 005 20231214133247.0 035 $a(CKB)5400000000045951 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69227 035 $a(EXLCZ)995400000000045951 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNew Challenges in Neutrosophic Theory and Applications 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (348 p.) 311 $a3-03943-288-5 311 $a3-03943-289-3 330 $aNeutrosophic 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. 606 $aResearch & information: general$2bicssc 606 $aMathematics & science$2bicssc 610 $aneutrosophic topology 610 $aneutrosophic generalized topology 610 $aneutrosophic generalized pre-closed sets 610 $aneutrosophic generalized pre-open sets 610 $aneutrosophic p T 1 2 space 610 $aneutrosophic g p T 1 2 space 610 $ageneralized neutrosophic compact and generalized neutrosophic compact 610 $afuzzy operating characteristic curve 610 $afuzzy OC band 610 $aBirnbaum-Sunders distribution 610 $asingle acceptance sampling plan 610 $aaggregation operator 610 $adecision making 610 $aneutrosophic soft expert sets 610 $aneutrosophic soft expert multiset 610 $aneutrosophic sets 610 $aneutrosophic multisets 610 $aneutrosophic multigroups 610 $aneutrosophic multisubgroups 610 $abipolar neutrosophic number (BNN) 610 $aBNN improved generalized weighted HM (BNNIGWHM) operator 610 $aBNN improved generalized weighted geometry HM (BNNIGWGHM) operator 610 $adecision-making 610 $aneutrosophic cubic set 610 $aneutrosophic cubic hybrid geometric operator 610 $aneutrosophic cubic Einstein hybrid geometric operator 610 $amultiattributedecision-making (MADM) 610 $aneutrosophic set 610 $aZhang-Zhang?s YinYang bipolar fuzzy set 610 $asingle-valued bipolar neutrosophic set 610 $abipolar fuzzy set 610 $aYinYang bipolar fuzzy set 610 $amultiple attribute group decision making (MAGDM) 610 $aLinguistic neutrosophic 610 $aLNN Einstein weighted-average operator 610 $aLNN Einstein weighted-geometry (LNNEWG) operator 610 $asemi-idempotent 610 $aneutrosophic rings 610 $amodulo neutrosophic rings 610 $aneutrosophic semi-idempotent 610 $aneutrosophic ring 610 $aneutrosophic triplets 610 $aidemponents 610 $aspecial neutrosophic triplets 610 $aacceptance number 610 $aneutrosophic approach 610 $aoperating characteristics 610 $arisks 610 $asample size 610 $aprobabilistic neutrosophic hesitant fuzzy set 610 $adistance measure 610 $asimilarity measure 610 $aentropy measure 610 $amulti-criteria decision-making (MCDM) 610 $aNeutrosophic Quadruple (NQ) 610 $aNeutrosophic Quadruple set 610 $aNQ vector spaces 610 $aNQ linear algebras 610 $aNQ basis 610 $aorthogonal or dual NQ vector subspaces 610 $asimilarity index 610 $adiagnosis 610 $aprocess 610 $aindeterminacy 610 $aneutrosophic statistics 610 $atime-truncated test 610 $aWeibull distribution 610 $arisk 610 $auncertainty 610 $aneutrosophic 610 $aneutrosophic logic 610 $afuzzy logic 610 $acontrol chart 610 $aneutrosophic numbers 610 $amonitoring 610 $afinancial assets 610 $aneutrosophicportfolio 610 $aneutrosophic portfolio return 610 $aneutrosophic portfolio risk 610 $aneutrosophic covariance 610 $aAbel-Grassmann?s neutrosophic extended triplet loop 610 $ageneralized Abel-Grassmann?s neutrosophic extended triplet loop 610 $astrong inverse AG-groupoid 610 $aquasi strong inverse AG-groupoid 610 $aquasi Clifford AG-groupoid 610 $asemigroup 610 $aCA-groupoid 610 $aregular CA-groupoid 610 $aneutrosophic extended triplet (NET) 610 $aGreen relation 610 $amulti-attribute group decision-making 610 $agranular computing 610 $ainterval-valued neutrosophic information 610 $amultigranulation probabilistic models 610 $amerger and acquisition target selections 610 $adynamic neutrosophic environment 610 $adynamic interval-valued neutrosophic set 610 $aunknown weight information 610 $asingle-valued neutrosophic linguistic set 610 $acombined weighted 610 $alogarithmic distance measure 610 $asupplier selection 610 $afresh aquatic products 610 $aMAGDM 615 7$aResearch & information: general 615 7$aMathematics & science 700 $aVladutescu$b Stefan$4edt$01324152 702 $aColhon$b Mihaela$4edt 702 $aVladutescu$b Stefan$4oth 702 $aColhon$b Mihaela$4oth 906 $aBOOK 912 $a9910557739203321 996 $aNew Challenges in Neutrosophic Theory and Applications$93035958 997 $aUNINA