LEADER 06284nam 22007815 450 001 9910254186203321 005 20200629201508.0 010 $a3-319-26302-1 024 7 $a10.1007/978-3-319-26302-1 035 $a(CKB)3780000000094076 035 $a(SSID)ssj0001599514 035 $a(PQKBManifestationID)16306101 035 $a(PQKBTitleCode)TC0001599514 035 $a(PQKBWorkID)14892368 035 $a(PQKB)10425400 035 $a(DE-He213)978-3-319-26302-1 035 $a(MiAaPQ)EBC6305142 035 $a(MiAaPQ)EBC5586716 035 $a(Au-PeEL)EBL5586716 035 $a(OCoLC)1066188285 035 $a(PPN)190885033 035 $a(EXLCZ)993780000000094076 100 $a20151222d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aImprecision and Uncertainty in Information Representation and Processing $eNew Tools Based on Intuitionistic Fuzzy Sets and Generalized Nets /$fedited by Plamen Angelov, Sotir Sotirov 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XI, 414 p. 95 illus. in color.) 225 1 $aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v332 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-26301-3 327 $aFuzzy, Intuitionistic Fuzzy, What Next?.- On the Atanassov Concept of Fuzziness and One of its Modification.- One, Two and Uni-type Operators on IFSs.- Intuitionistic Fuzzy Inclusion Indicator of Intuitionistic Fuzzy Sets.- Additive Generators Based on Generalized Arithmetic Operators in Interval-Valued Fuzzy and Atanassov's Intuitionistic Fuzzy Set Theory.- How Does a Cognition System Evaluate the Membership Value ?(x)?.- Properties and Applications of Pythagorean Fuzzy Sets.- Consistency and Consensus of Intuitionistic Fuzzy Preference Relations in Group Decision Making.- A Generalized Net Model for Students Evaluation Process, Using InterCriteria Analysis Method.-Differential Calculus on IF Sets.- Intuitionistic Fuzzy Relational Equations in BL?algebras.- Intuitionistic Fuzzy Weakly Open Mappings.- Intuitionistic Fuzzy Dependency Framework.- On the TOPSIS-class Methods in the Intuitionistic Fuzzy Environment.-  Differential Evolution with Fuzzy Logic for Dynamic Adaptation of Parameters In Mathematical Function Optimization.- Recognizing Imbalanced Classes by an Intuitionistic Fuzzy Classifier.- Ensemble Neural Network with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction and its Optimization with PSO.- Intuitionistic Fuzzy Logic and Provisional Acceptance of Scientific Theories: A Tribute to Krassimir Atanassov on the Occasion of his Sixtieth Birthday.- Intuitionistic Fuzzy Estimation of the Generalized nets Model of Spatial-temporal Group Scheduling Problems -- IT Business Service-Level-Management - An Intuitionistic Fuzzy Approach -- Modifications of the Algorithms for Transition Functioning in Gns, GNCP, IFGNCP1 and IFGNCP3 when Merging of Tokens is Permitted.- Generalized net model for monitoring the degree of disability in patients with multiple sclerosis based on neurophysiologic criteria.- Generalized Net Models of Basic Genetic Algorithm Operators.- Generalized Nets in Medicine. An Example of Telemedicine for People with Diabetes. 330 $aThe book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets. The different chapters, written by active researchers in their respective areas, are structured to provide a coherent picture of this interdisciplinary yet still evolving field of science. They describe key tools and give practical insights into and research perspectives on the use of Atanassov's intuitionistic fuzzy sets and logic, and generalized nets for describing and dealing with uncertainty in different areas of science, technology and business, in a single, to date unique book. Here, readers find theoretical chapters, dealing with intuitionistic fuzzy operators, membership functions and algorithms, among other topics, as well as application-oriented chapters, reporting on the implementation of methods and relevant case studies in management science, the IT industry, medicine and/or education. With this book, the editors wish to pay homage to Professor Krassimir Todorov Atanassov for his pioneering work on both generalized nets and intuitionistic fuzzy set. 410 0$aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v332 606 $aComputational intelligence 606 $aComputer science?Mathematics 606 $aComputer mathematics 606 $aOperations research 606 $aDecision making 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aMathematical Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M13110 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aComputer science?Mathematics. 615 0$aComputer mathematics. 615 0$aOperations research. 615 0$aDecision making. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aMathematical Applications in Computer Science. 615 24$aOperations Research/Decision Theory. 615 24$aArtificial Intelligence. 676 $a511.322 702 $aAngelov$b Plamen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSotirov$b Sotir$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254186203321 996 $aImprecision and Uncertainty in Information Representation and Processing$91542839 997 $aUNINA