Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences
Shukla, Amit (editor)
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.
Keywordsoverlap functions; grouping functions; composition; closures; properties preservation; operational semantics; Routley–Meyer-style semantics; algebraic semantics; (core) fuzzy logics; implicational tonoid fuzzy logics; brain tumor; confusion matrix; EfficientNet; CNN; MRI; fuzzy logic; fuzzy theory; FAHP; CoCoSo; MCDM; chemistry; supplier selection model; food-processing industry; fuzzy sets; multiple criteria decision making; operation research; mixed integer linear programming; supply chain management; immigrants; triangular fuzzy numbers; TOPSIS; fuzzy-hybrid cluster; generalized Hukuhara division; generalized division; granular division; B2C e-commerce; Fuzzy AHP; pandemic; interval type-3 fuzzy logic; fuzzy aggregation; time series prediction; attitudes toward immigrants; Europe; island regions; International Social Survey Program (ISSP); Fuzzy-Hybrid TOPSIS; assessment; education; INVALSI; explainable AI; fuzzy systems; AI agents; Mamdani inference system; TSK; bibliometric analysis; research agenda; multiple-criteria decision-making (MCDM); complexity; VUCA; VOSviewer; SciMAT; n/a
Webshop linkhttps://mdpi.com/books/pdfview ...
Publication date and placeBasel, 2023
Research & information: general
Mathematics & science