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
卷号	47 期号:3 页码:327-331
文章类型	Article
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.
关键词	Forage Selection Decision Support System Analytic Hierarchy Process Fuzzy Logic
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
学科领域	农业科学
关键词[WOS]	CONVENIENCE STORE ; AHP ; INTEGRATION ; RANKING ; DESIGN
收录类别	SCI
语种	英语
WOS研究方向	Agriculture
WOS类目	Agriculture, Multidisciplinary
WOS记录号	WOS:000224652400007
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://210.75.249.4/handle/363003/1388
专题	中国科学院西北高原生物研究所
作者单位	1.Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Lanzhou 730020, Peoples R China 2.Chinese Acad Sci, NW Inst Plateau Biol, Xining 810008, Peoples R China 3.Agr Univ Gansu, Coll Grassland Sci Gansu, Lanzhou 730070, Peoples R China 4.SW Agr Univ, Anim Sci Coll, Chongqing 400716, Peoples R China
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,2004,47(3):327-331.
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,47(3),327-331.
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 47.3(2004):327-331.