Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences
Mathematical 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 mathematica...
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Format | eBook |
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Language | English |
Published |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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Subjects | |
Online Access | Get full text |
ISBN | 3036559353 9783036559360 3036559361 9783036559353 |
DOI | 10.3390/books978-3-0365-5935-3 |
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Abstract | Mathematical 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. |
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AbstractList | Mathematical 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. |
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SubjectTerms | (core) fuzzy logics AI agents algebraic semantics assessment attitudes toward immigrants B2C e-commerce bibliometric analysis brain tumor chemistry closures CNN CoCoSo complexity composition confusion matrix education EfficientNet Europe explainable AI FAHP food-processing industry fuzzy aggregation Fuzzy AHP fuzzy logic fuzzy sets fuzzy systems fuzzy theory fuzzy-hybrid cluster Fuzzy-Hybrid TOPSIS generalized division generalized Hukuhara division granular division grouping functions immigrants implicational tonoid fuzzy logics International Social Survey Program (ISSP) interval type-3 fuzzy logic INVALSI island regions Mamdani inference system Mathematics and Science MCDM mixed integer linear programming MRI multiple criteria decision making multiple-criteria decision-making (MCDM) n/a operation research operational semantics overlap functions pandemic properties preservation Reference, Information and Interdisciplinary subjects research agenda Research and information: general Routley–Meyer-style semantics SciMAT supplier selection model supply chain management time series prediction TOPSIS triangular fuzzy numbers TSK VOSviewer VUCA |
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Title | Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences |
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