LEADER 03231nam 22006135 450 001 9910678249403321 005 20251217154830.0 010 $a981-19-2760-X 024 7 $a10.1007/978-981-19-2760-7 035 $a(MiAaPQ)EBC7209158 035 $a(Au-PeEL)EBL7209158 035 $a(CKB)26191685700041 035 $a(DE-He213)978-981-19-2760-7 035 $a(PPN)269097651 035 $a(EXLCZ)9926191685700041 100 $a20230302d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEssentials of Fuzzy Soft Multisets $eTheory and Applications /$fby Anjan Mukherjee, Ajoy Kanti Das 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (154 pages) 311 08$aPrint version: Mukherjee, Anjan Essentials of Fuzzy Soft Multisets Singapore : Springer,c2023 9789811927591 320 $aIncludes bibliographical references. 327 $a1. Introduction to fuzzy sets, soft sets, mulit sets and their generations -- 2. Fuzzy soft multiset theory -- 3. Relation on fuzzy soft multisets -- 4. Topology on fuzzy soft multisets -- 5. Fuzzy soft multi points and their sequences -- 6. Fuzzy soft multi compactness and separation axioms -- 7. Fuzzy soft multiset based applications -- 8. Generalization of fuzzy soft multisets -- 9. Intuitionistic fuzzy soft multiset theory -- 10. Application of intuitionistic fuzzy soft multisets. . 330 $aThis book discusses major theories and applications of fuzzy soft multisets and their generalization which help researchers get all the related information at one place. The primary objective of this book is to help bridge the gap to provide a textbook on the theories in fuzzy soft multisets and their applications in real life. It is targeted to researchers and students working in the field of fuzzy set theory, multiset theory, soft set theory and their applications. Uncertainty, vagueness and the representation of imperfect knowledge have been a problem in many fields of research, including artificial intelligence, network and communication, signal processing, machine learning, computer science, information technology, as well as medical science, economics, environments and engineering. There are many mathematical tools for dealing with uncertainties. They include fuzzy set theory, multiset theory, soft set theory and soft multiset theory. 606 $aSet theory 606 $aAlgebra 606 $aTopology 606 $aSet Theory 606 $aAlgebra 606 $aTopology 606 $aConjunts borrosos$2thub 608 $aLlibres electrònics$2thub 615 0$aSet theory. 615 0$aAlgebra. 615 0$aTopology. 615 14$aSet Theory. 615 24$aAlgebra. 615 24$aTopology. 615 7$aConjunts borrosos 676 $a511.3223 700 $aMukherjee$b Anjan$0739798 702 $aDas$b Ajoy Kanti 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910678249403321 996 $aEssentials of Fuzzy Soft Multisets$93071654 997 $aUNINA