Optimal Models and Methods with Fuzzy Quantities

This book presents a comprehensive exploration of fuzzy systems across ten chapters, focusing on various models and methodologies. Key topics include regression models with fuzzy coefficients and variables, fuzzy input/output models, and cluster analysis. It also delves into fuzzy linear programming, geometric programming, and relative equations, along with their optimization techniques. The text further addresses interval and fuzzy differential equations, as well as functional variations, providing a robust framework for understanding and applying fuzzy logic in complex systems.