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

	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
刊名	new zealand journal of agricultural research
	2004-09-01
卷号	47 期号:3 页码:327-331
关键词	forage selection decision support system analytic hierarchy process fuzzy logic
合作状况	其它
中文摘要	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.
英文摘要	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.
学科主题	农业科学
WOS标题词	science & technology ; life sciences & biomedicine
类目[WOS]	agriculture, multidisciplinary
研究领域[WOS]	agriculture
关键词[WOS]	convenience store ; ahp ; integration ; ranking ; design
收录类别	SCI
语种	英语
WOS记录号	WOS:000224652400007
公开日期	2009-12-09
内容类型	期刊论文
源URL	[http://ir.nwipb.ac.cn/handle/363003/1388]
专题	西北高原生物研究所_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.