GUO Hua,QIN Cong,SHI Meijuan,et al.GC-ITOPSIS Fruit Quality Evaluation Model Based on Game Theory[J].Northern Horticulture,2021,(05):145-150.[doi:10.11937/bfyy.20201618]
基于博弈论的GC-ITOPSIS果实品质评价模型
- Title:
- GC-ITOPSIS Fruit Quality Evaluation Model Based on Game Theory
- 关键词:
- 果实品质评价; 博弈论; GC-ITOPSIS模型; 贴近度; BP预测模型
- Keywords:
- fruit quality evaluation; game theory; GC-ITOPSIS model; close degree; BP prediction model
- 文献标志码:
- A
- 摘要:
- 为了对果实品质进行更全面的评价，从而更合理地选择优良果实品种。该研究以16个果园的“莱阳茌梨”为试材，运用MATLAB软件，确定了距离贴近度和灰色关联贴近度，并基于博弈论思想，计算出贴近度的组合系数，进而求得综合贴近度，构建GC-ITOPSIS果实评价模型。结果表明：样本1的综合贴进度最大，果实品质最佳，即第1个果园的“莱阳茌梨”果实品质最佳。在此基础上，该研究实现了对果实品质的定量预测，建立了果实品质的BP预测模型，预测精度在7%以内。GC-ITOPSIS模型和BP预测模型相结合，不仅实现了果实品质的定量预测，而且提高了果实品质评价的便利性和准确性。
- Abstract:
- In order to make a more comprehensive evaluation of fruit quality and select better fruit varieties more reasonably.In this study,‘Laiyangchili’of 16 orchards were used as the test materials,and the distance closeness degree and grey relational closeness degree were determined by MATLAB software.Based on the idea of game theory,the combination coefficient of closeness degree was calculated,and then the comprehensive closeness degree was obtained,and the GC-ITOPSIS fruit evaluation model was constructed.The results showed that the comprehensive pasting progress of sample 1 was the largest,and the fruit quality was the best,the fruit quality of ‘Laiyangchili’ in the first orchard was the best.On this basis,this study realized the quantitative prediction of fruit quality,established the BP prediction model of fruit quality,and the prediction accuracy was less than 7%.The combination of GC-ITOPSIS model and BP prediction model not only realizes the quantitative prediction of fruit quality,but also improves the convenience and accuracy of fruit quality evaluation.
参考文献/References:
[1]林蝉蝉,何舟阳,单文龙,等.基于主成分与聚类分析综合评价杨凌地区红色鲜食葡萄果实品质[J].果树学报,2020,37(4):520-532.[2]DI C R,SURICO R F,MINERVINI G,et al.Exploitation of sweet cherry (Prunus avium L.) puree added of stem infusion through fermentation by selected autochthonous lactic acid bacteria[J].Food Microbiology,2011，28(5):900-909.[3]KIM D O,HEO H J,KIM Y J,et al.Sweet and sour cherry phenolics and their protective effects on neuronal cells[J].Journal of Agricultural and Food Chemistry,2005,26:9921-9927.[4]王琴,王建友,韩宏伟,等.南疆地区甜樱桃品种果实品质测定与评价[J].食品工业科技,2019,40(8):215-220.[5]刘丙花,王开芳,王小芳,等.基于主成分分析的蓝莓果实质地品质评价[J].核农学报,2019,33(5):927-935.[6]叶霜,李承荧,邱霞,等.基于组合赋权的TOPSIS模型在果实品质评价中的应用[J].西北农林科技大学学报(自然科学版),2017,45(10):111-121.[7]张海英,韩涛,刘洁,等.应用灰色关联度分析法评价桃果实品质[J].北方园艺,2008(12):9-13.[8]樊保国,李月梅,张强,等.中阳木枣系品种果实制干品质的综合评价方法[J].中国农业大学学报,2019,24(5):150-160.[9]成传香,王鹏旭,贾蒙,等.基于GC-MS结合多元统计方法分析不同种类柑橘汁中香气物质[J].食品与发酵工业,2019,45(21):236-243.[10]张彪,刘璇,毕金峰,等.基于BP人工神经网络算法的苹果制干适宜性评价[J].中国农业科学,2019,52(1):129-142.[11]魏康丽,刘畅,丁海臻,等.苹果果肉可溶性固形物、可溶性糖与光学性质的关联[J].食品科学,2019,40(18):1-7.[12]牟红梅,于强,李庆余,等.用主成分分析法选择“莱阳茌梨”果实品质的评价因子[J].中国果树,2018(1):23-26.
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备注/Memo
第一作者简介：郭华（1990-），女，硕士，研究实习员，现主要从事旱作节水栽培与水分生理等研究工作。E-mail:ch34158@163.com.责任作者：杨凯（1978-），男，硕士，副研究员，现主要从事旱作节水栽培与水分生理等研究工作。E-mail:tgyk3380@163.com.基金项目：山西省重点研发资助项目（201703D211002-5-3）；山西省农业科学院院（市）县共建研发专项资助项目（YCX2018D2YX13）；山西省科技成果转化引导专项资助项目（201904D131048）。收稿日期：2020-04-21