Название: Picture Fuzzy Logic and Its Applications in Decision Making Problems Автор: Chiranjibe Jana, Madhumangal Pal, Valentina Emilia Balas, Ronald R. Yager Издательство: Academic Press/Elsevier Год: 2024 Страниц: 296 Язык: английский Формат: pdf (true), epub Размер: 15.6 MB
Picture Fuzzy Logic and Its Applications in Decision Making Problems provides methodological frameworks and the latest empirical research findings in the field of picture fuzzy operators and their applications in scientific research and real-world engineering problems. In this book, picture fuzzy sets are investigated, and different types of operators are defined to solve a number of important decision-making and optimization problems. The hybrid operator on picture fuzzy set based on the combination of picture fuzzy weighted averaging operators and picture fuzzy weighted geometric operators is developed and named Hybrid Picture Fuzzy Weighted Averaging Geometric (H-PFWAG) operator. In addition, another operator is developed for interval-valued picture fuzzy environment, which is named Hybrid Interval-Valued Picture Fuzzy Weighted Averaging Geometric (H-IVPFWAG) operator. These two operators are then demonstrated as solutions to Multiple-Attribute Decision-Making (MADM) problems. The picture fuzzy soft weighted aggregation operators (averaging and geometric) are defined, and these are applied to develop a multi-criteria group decision making system.
- Provides in-depth explanations of picture fuzzy logic and its application to computational modeling problems - Helps readers understand the difference between various fuzzy logic methods - Provides concepts used to develop and solve problems within the picture fuzzy environment
Readership: Researchers in computational modelling, applied mathematicians, and computer scientists working with researchers and developers in engineering, biomedical, and other applied sciences. Researchers, developers, and graduate students in computer science and mathematics interested in fuzzy systems and their extensions, fuzzy logic applications, and picture fuzzy logic.
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