Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory
The present study is mainly a continuation of our previous study, which is about a crop evaluation system development that is based on grey relational analysis. In that system, the attribute weight determination affects the evaluation result directly. Attribute weight is usually ascertained by decis...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/6781671 |
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doaj-fde65499f84f471ca824d7a26848f9c52020-11-25T00:25:21ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/67816716781671Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets TheoryRuihong Wang0Liguo Zhang1Xiuying Lu2College of Information Science & Technology, Agricultural University of Hebei, Baoding, ChinaCollege of Information Science & Technology, Agricultural University of Hebei, Baoding, ChinaAgricultural University of Hebei, Baoding, ChinaThe present study is mainly a continuation of our previous study, which is about a crop evaluation system development that is based on grey relational analysis. In that system, the attribute weight determination affects the evaluation result directly. Attribute weight is usually ascertained by decision-makers experience knowledge. In this paper, we utilize rough sets theory to calculate attribute significance and then combine it with weight given by decision-maker. This method is a comprehensive consideration of subjective experience knowledge and objective situation; thus it can acquire much more ideal results. Finally, based on this method, we improve the system based on ASP.NET technology.http://dx.doi.org/10.1155/2017/6781671 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ruihong Wang Liguo Zhang Xiuying Lu |
spellingShingle |
Ruihong Wang Liguo Zhang Xiuying Lu Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory Mathematical Problems in Engineering |
author_facet |
Ruihong Wang Liguo Zhang Xiuying Lu |
author_sort |
Ruihong Wang |
title |
Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory |
title_short |
Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory |
title_full |
Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory |
title_fullStr |
Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory |
title_full_unstemmed |
Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory |
title_sort |
crop evaluation system optimization: attribute weights determination based on rough sets theory |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2017-01-01 |
description |
The present study is mainly a continuation of our previous study, which is about a crop evaluation system development that is based on grey relational analysis. In that system, the attribute weight determination affects the evaluation result directly. Attribute weight is usually ascertained by decision-makers experience knowledge. In this paper, we utilize rough sets theory to calculate attribute significance and then combine it with weight given by decision-maker. This method is a comprehensive consideration of subjective experience knowledge and objective situation; thus it can acquire much more ideal results. Finally, based on this method, we improve the system based on ASP.NET technology. |
url |
http://dx.doi.org/10.1155/2017/6781671 |
work_keys_str_mv |
AT ruihongwang cropevaluationsystemoptimizationattributeweightsdeterminationbasedonroughsetstheory AT liguozhang cropevaluationsystemoptimizationattributeweightsdeterminationbasedonroughsetstheory AT xiuyinglu cropevaluationsystemoptimizationattributeweightsdeterminationbasedonroughsetstheory |
_version_ |
1725349428300087296 |