Springer Discrete Fuzzy Measures: Computational Aspects 382

Discrete Fuzzy Measures: Computational Aspects (Studies in Fuzziness and Soft Computing, 382) provides essential technical knowledge for professionals working in multicriteria decision making. Published by Springer, this volume serves as a specialized resource for computer scientists, IT specialists, mathematicians, knowledge engineers, and programmers. The text explores how fuzzy measures, also known as capacities, enable the combination of degrees of preferences, support, or fuzzy memberships into a single representative value. This process is vital for accounting for interactions between various inputs. By utilizing coefficients of fuzzy measures, the book models notions of mutual reinforcement or redundancy explicitly. Furthermore, it covers how fuzzy integrals, including the Choquet and Sugeno integrals, combine inputs to provide more accurate decision-making models. This book is a practical tool for those engaged in both the research and real-world application of fuzzy logic and soft computing methods.