NDLI: Research on agricultural decision support system based on rough set theory

Content Provider	IEEE Xplore Digital Library
Author	Mei Liu Xiao Zhang Bo Wang
Copyright Year	2009
Description	Author affiliation: Rizhao Polytechnic College, China (Xiao Zhang; Bo Wang) \|\| School of Food Science and Technology, Jiangnan University, Wuxi, China (Mei Liu)
Abstract	Rough set theory as a new mathematical tool is used to deal with the imprecise, incomplete and uncertain knowledge for pattern recognition. In current information explosion era, the powerful functions of agricultural decision support system(ADSS) on assistant decision-making and rough set on information processing is becoming increasingly obviously, and have called people's attention. According to the characteristics of the area of agriculture data, this thesis proposed the model of DSS for agriculture application based on rough set theory. In allusion to the disadvantages of traditional data analyzed methods,this thesis studied the important role of discernibility matrix in finding the core of attributes, then proposed an improved attribute reduction algorithm for incomplete information systems based on the limited tolerance relation. According to the task of knowledge acquisition in ADSS,we built the model of ADSS based on rough set theory.In this model, we firstly analyzed the pretreatment method for agricultural data, which included the discretization and generalization issues of attributes. After pretreatment, the data will form a target information system, then attribute reduction algorithm is used to get rules, then achieved the purpose of application of rough set in ADSS.
Starting Page	102
Ending Page	109
File Size	4184997
Page Count	8
File Format	PDF
ISBN	9781424446902
DOI	10.1109/FBIE.2009.5405876
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Data analysis Decision making discernibility matrix Rough set thoery Explosions Pattern recognition Power system modeling attributes reduction Information systems agriculture decision support system Information processing Set theory Agriculture discretization
Content Type	Text
Resource Type	Article

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