ABSTRACT

The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic application. Providing readers with the first book to cover fuzzy logic modeling as it relates to water science, the author takes an approach that incorporates verbal expert views and other parameters that allow

chapter 1|12 pages

Introduction

chapter 2|24 pages

Linguistic Variables and Logic

chapter 4|28 pages

4Chapter Fuzzy Numbers and Arithmetic

chapter 5|44 pages

5Chapter Fuzzy Associations and Clusters

chapter 6|32 pages

6Chapter Fuzzy Logical Rules

chapter 7|34 pages

7Chapter FIS: Fuzzy Inference System

chapter 9|50 pages

Fuzzy Water Resources Operation