An application of the analytic hierarchy process and fuzzy logic inference in a decision support system for forage selection

Forage selection plays a prominent role in the process of returning cultivated lands back into grasslands. The conventional method of selecting forage species can only provide attempts for problem-solving without considering the relationships among the decision factors globally. Therefore, this study is dedicated to developing a decision support system to help farmers correctly select suitable forage species for the target sites. After collecting data through a field study, we developed this decision support system. It consists of three steps: (1) the analytic hierarchy process (AHP), (2) weights determination, and (3) decision making. In the first step, six factors influencing forage growth were selected by reviewing the related references and by interviewing experts. Then a fuzzy matrix was devised to determine the weight of each factor in the second step. Finally, a gradual alternative decision support system was created to help farmers choose suitable forage species for their lands in the third step. The results showed that the AHP and fuzzy logic are useful for forage selection decision making, and the proposed system can provide accurate results in a certain area (Gansu Province) of China.

宏观经济的决策支持系统

本文介绍了一个用于宏观经济决策的决策支持系统的内容和特点。论述了处理经济系统时建立知识库系统的必要性。着重介绍了用于宏观经济的知识库系统以及建立在这个系统基础之上的整个决策支持系统的结构。最后简述了这个系统的发展方向。

基于面向对象方法的决策支持系统

决策支持系统(DSS-Decision Support Systems)作为信息系统的高级形式得到了广泛重视,但同时也面临着很多问题。本文仔细剖析了这些问题,讨论以面向对象OO(Object Oriented)的方法进行DSS设计,最后提出了一个基于OO方法的DSS结构。

交通战备保障方案决策系统的研究设计

阐述了一种交通战备保障方案实施决策支持系统，介绍了系统的数据库系统、模型库系统的设计.该系统主要针对突发事件，为交通战备保障方案的实施提供快速、有效的决策支持。