Fuzzy Statistics

The book is structured into four main parts focusing on fuzzy statistics. The first part introduces fuzzy estimation, including the construction of fuzzy estimators for normal distributions. The second part delves into fuzzy hypothesis testing, applying fuzzy estimators in statistical tests. The third part covers fuzzy regression and prediction, starting with fuzzy correlation and progressing through simple and multiple linear regression. Each section builds on the previous one, emphasizing the use of crisp data from random samples to develop fuzzy models.