Optimizing Method Of Website's Information Classification And Its Application

The topic of the dissertation is optimizing method of Website's Information Classification (WIC) and its application in forestry E-governments websites. The contributions of the dissertation are as follows:(1) The dissertation analyses the definition, aims and principles of optimizing WIC, firstly. Based on these, the mathematic formula model of optimizing WIC is given. With changing the Optimizing WIC problem into the Multi- Objective Decision Making (MODM) problem, the dissertation brings up a method for optimizing WIC. The method has four steps which are analysis, assessing, design and implementation.(2) The dissertation brings up an indicator system for assessing Website's Information Classification Quality (WICQ), and assesses the WICQ of Chinese State Forestry Administration website with the indicator system. After this work, the dissertation brings up maturity model of processing procedure on WIC and a method for assessing managing level of WIC.(3) The dissertation brings up a method for designing the optimizing plan on WIC which has four steps. These steps are feature optimizing, granularity optimizing, name optimizing and structure optimizing. With systematic analysis and empirical analysis of Chinese forestry E-governments websites, the dissertation finds eight classification models for web information. Then, the dissertation brings up a top-down feature optimizing method. The dissertation brings up a granularity optimizing method which selects the biggest granularity firstly. The dissertation brings up two methods which take advantage of statistics and interactive genetic algorithm (IGA) respectively for name optimizing. For optimizing structure, the dissertation generalizes the feature of perfect WIC structure and brings up two methods. One method optimizes the WIC structure level by level, while the other method optimizes the structure just one time which basing on genetic algorithm (GA).(4) The dissertation optimizes the WIC of Chinese State Forestry Administration website with the method which is mentioned in this dissertation. Then, the new WIC and the old WIC are compared.