The Network Process Simulation of Soil-Moisture Infiltration Information System

ABSTRACT

This paper presents the techniques employed for solutions of the Network Process simulation of Soil-Moisture Infiltration for Soil-Moisture Infiltration Information System. A new approach that uses both enlightened and Random Selection approach is presented to unravel the issues. The usage of random functions comprising of first high value attribute variable and their corresponding combinations are elaborated in this research to overcome some weakness issues utilizing classical public functions. The classification of the Soil-Moisture Infiltration Information System is achieved by using random methods. It has been proved that usage of this new approach based on random selection methods for calculating weights improves precision performance and also minimizes the time required for computations. This research also validates that this approach is concise and more obvious for the decision maker (DM) as compared to the other available techniques.

Keywords:

Classification, flexibility-function, network, random selection method, soil-moisture infiltration information system.