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

NWIPB OpenIR

	An application of the analytic hierarchy process and fuzzy logic inference in a decision support system for forage selection
	Sun, J ; Chen, QG ; Long, RJ ; Jiang, WL
	2004-09-01
发表期刊	NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH ; Sun J, Chen QG, Long RJ, Jiang WL. An application of the analytic hierarchy process and fuzzy logic inference in a decision support system for forage selection.NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH,2004,47(3):327-331
摘要	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.; 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.
文献类型	期刊论文
条目标识符	http://210.75.249.4/handle/363003/20319
专题	中国科学院西北高原生物研究所
推荐引用方式 GB/T 7714	Sun, J,Chen, QG,Long, RJ,et al. An application of the analytic hierarchy process and fuzzy logic inference in a decision support system for forage selection[J]. NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH, Sun J, Chen QG, Long RJ, Jiang WL. An application of the analytic hierarchy process and fuzzy logic inference in a decision support system for forage selection.NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH,2004,47(3):327-331,2004.
APA	Sun, J,Chen, QG,Long, RJ,&Jiang, WL.(2004).An application of the analytic hierarchy process and fuzzy logic inference in a decision support system for forage selection.NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH.
MLA	Sun, J,et al."An application of the analytic hierarchy process and fuzzy logic inference in a decision support system for forage selection".NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH (2004).