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dc.contributor.editorShukla, Amit
dc.date.accessioned2023-02-02T16:34:01Z
dc.date.available2023-02-02T16:34:01Z
dc.date.issued2023
dc.identifierONIX_20230202_9783036559360_72
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/96671
dc.description.abstractMathematical fuzzy logic (MFL) specifically targets many-valued logic and has significantly contributed to the logical foundations of fuzzy set theory (FST). It explores the computational and philosophical rationale behind the uncertainty due to imprecision in the backdrop of traditional mathematical logic. Since uncertainty is present in almost every real-world application, it is essential to develop novel approaches and tools for efficient processing. This book is the collection of the publications in the Special Issue “Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences”, which aims to cover theoretical and practical aspects of MFL and FST. Specifically, this book addresses several problems, such as:- Industrial optimization problems- Multi-criteria decision-making- Financial forecasting problems- Image processing- Educational data mining- Explainable artificial intelligence, etc.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Scienceen_US
dc.subject.otheroverlap functions
dc.subject.othergrouping functions
dc.subject.othercomposition
dc.subject.otherclosures
dc.subject.otherproperties preservation
dc.subject.otheroperational semantics
dc.subject.otherRoutley–Meyer-style semantics
dc.subject.otheralgebraic semantics
dc.subject.other(core) fuzzy logics
dc.subject.otherimplicational tonoid fuzzy logics
dc.subject.otherbrain tumor
dc.subject.otherconfusion matrix
dc.subject.otherEfficientNet
dc.subject.otherCNN
dc.subject.otherMRI
dc.subject.otherfuzzy logic
dc.subject.otherfuzzy theory
dc.subject.otherFAHP
dc.subject.otherCoCoSo
dc.subject.otherMCDM
dc.subject.otherchemistry
dc.subject.othersupplier selection model
dc.subject.otherfood-processing industry
dc.subject.otherfuzzy sets
dc.subject.othermultiple criteria decision making
dc.subject.otheroperation research
dc.subject.othermixed integer linear programming
dc.subject.othersupply chain management
dc.subject.otherimmigrants
dc.subject.othertriangular fuzzy numbers
dc.subject.otherTOPSIS
dc.subject.otherfuzzy-hybrid cluster
dc.subject.othergeneralized Hukuhara division
dc.subject.othergeneralized division
dc.subject.othergranular division
dc.subject.otherB2C e-commerce
dc.subject.otherFuzzy AHP
dc.subject.otherpandemic
dc.subject.otherinterval type-3 fuzzy logic
dc.subject.otherfuzzy aggregation
dc.subject.othertime series prediction
dc.subject.otherattitudes toward immigrants
dc.subject.otherEurope
dc.subject.otherisland regions
dc.subject.otherInternational Social Survey Program (ISSP)
dc.subject.otherFuzzy-Hybrid TOPSIS
dc.subject.otherassessment
dc.subject.othereducation
dc.subject.otherINVALSI
dc.subject.otherexplainable AI
dc.subject.otherfuzzy systems
dc.subject.otherAI agents
dc.subject.otherMamdani inference system
dc.subject.otherTSK
dc.subject.otherbibliometric analysis
dc.subject.otherresearch agenda
dc.subject.othermultiple-criteria decision-making (MCDM)
dc.subject.othercomplexity
dc.subject.otherVUCA
dc.subject.otherVOSviewer
dc.subject.otherSciMAT
dc.subject.othern/a
dc.titleMathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-5935-3
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036559360
oapen.relation.isbn9783036559353
oapen.pages250
oapen.place.publicationBasel


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