In recent years, fuzzy logic has emerged as a powerful technique in the analysis of
hydrologic components and decision making in water resources. Problems related to …

Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

The exploitation of land and water resources to sustain an ever-increasing population
inevitably involves the utilisation for both urban and agricultural development of rural areas …

This important monograph is based on the results of a study on the identification of
conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of …

This book presents in a systematic and comprehensive manner the modeling of uncertainty,
vagueness, or imprecision, alias" fuzziness," in just about any field of science and …

The optimal use of available resources is of paramount importance in the backdrop of the
increasing food, fiber, and other demands of the burgeoning global population and the …

With a plethora of watershed rainfall-runoff models available for flood forecasting and more
than adequate computing power to operate a number of such models simultaneously, we …

We propose a new method for computation of fuzzy regression that is simple and gives good
solutions. We consider two cases: First, when only the dependent variable is fuzzy, our …

Statistical linear regression and fuzzy linear regression have been developed from different
perspectives, and thus there exist several conceptual and methodological differences …

This paper presents a detailed performance and sensitivity analysis of a recently developed
hydrological landscape classification method based on dominant runoff mechanisms. Three …