基于SECA的加工番茄综合评价方法研究
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摘要
针对加工番茄不同品种间的品质特性差异,本文提出基于Simultaneous Evaluation of Criteria and Alternatives(SECA)方法的加工番茄种质资源综合评价方法.基于该方法对50种加工番茄6个品质特性的内部及之间的差异进行分析,得出6种品质特性霉菌比、青果比、颜色值、加工局限性、固形物含量比和pH值的各项权值,同时对所有品种进行综合评价.依据结果将加工番茄品种划分为特级、一级和二级,可选取特级中综合评价最高的5个品种作为新品种引入,为培育更适合本地种植的加工番茄品种提供决策支持和参考依据.该方法避免了传统方法中权重确定的主观性,对加工番茄的多个品质特性进行全面客观的评价,无需人为设定理想品质参数,适用性更高,排序结果直观且可信度高.
In view of the differences of quality characteristics among different processing tomato varieties,a comprehensive evaluation method of processing tomato germplasm resources based on Simultaneous Evaluation of Criteria and Alternatives(SECA)was proposed.Based on this method,this paper analyzed the intra-attribute differences,furthermore,the inter-attribute differences among six attributes of 50 kinds of processing tomatoes.The weights of the six quality characteristics such as mold ratio,green fruit ratio,color value,limited use,solid content ratio and pH value were decided.The comprehensive scores of 50 processing tomatoes can be divided into three categories:special grade,first grade and second grade.The processing tomato varieties with the best performance in special grade can be selected as new varieties,which provide decision support and reference for breeding tomato varieties that are more suitable for local planting.To a large extent,this method avoids the subjective factors in the process of weight determination in traditional methods.It is able to elaborately evaluate and rank germplasm resources,without setting the ideal parameters.The ranking results are more reliable and more applicable.
In view of the differences of quality characteristics among different processing tomato varieties,a comprehensive evaluation method of processing tomato germplasm resources based on Simultaneous Evaluation of Criteria and Alternatives(SECA)was proposed.Based on this method,this paper analyzed the intra-attribute differences,furthermore,the inter-attribute differences among six attributes of 50 kinds of processing tomatoes.The weights of the six quality characteristics such as mold ratio,green fruit ratio,color value,limited use,solid content ratio and pH value were decided.The comprehensive scores of 50 processing tomatoes can be divided into three categories:special grade,first grade and second grade.The processing tomato varieties with the best performance in special grade can be selected as new varieties,which provide decision support and reference for breeding tomato varieties that are more suitable for local planting.To a large extent,this method avoids the subjective factors in the process of weight determination in traditional methods.It is able to elaborately evaluate and rank germplasm resources,without setting the ideal parameters.The ranking results are more reliable and more applicable.
引文
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[12]杨萌,袁逸萍,李明,等.基于熵权模糊法的新疆区域两化融合发展水平评价研究[J].新疆大学学报(自然科学版),2017,34(4):488-492.
[13]谢彦蓉,李孜军,徐志国.基于CRITIC法与TOPSIS法的硫化矿自燃倾向性评定[J].安全与环境学报,2014,14(1):122-125.
[14]Riesgo L,Gallegoayala J.Multicriteria Analysis of Olive Farms Sustainability:An Application of TOPSIS Models[M]//Lcuis M,Pl`a-Aragon′es.Handbook of Operations Research in Agriculture and the Agri-Food Industry.New York:Springer,2015,337-349.
[15]Peng X,Dai J.Hesitant fuzzy soft decision making methods based on WASPAS,MABAC and COPRAS with combined weights[J].Journal of Intelligent&Fuzzy Systems,2017,33(2):1313-1325.
[16]Walczak D,Rutkowska A.Project rankings for participatory budget based on the fuzzy TOPSIS method[J].European Journal of Operational Research,2017,260(2):706-714.
[17]Barrett D M.Future innovations in tomato processing[J].Acta Horticulturae,2015,1081:49-55
[2]张姝,韩一军,王岫嵩.中国番茄制品出口下滑原因及对策分析[J].中国蔬菜,2015,1(4):1-6.
[3]韩泽群,姜波.加工番茄品种多性状综合评价方法研究[J].中国农业科学,2014,47(2):357-365.
[4]刘峰娟,朱靖蓉,周俊,等.新疆主栽加工番茄品种营养品质比较研究[J].新疆农业科学,2016,53(2):225-231.
[5]许立志.加工番茄新品种评价及抗逆性鉴定[D].石河子:石河子大学,2017.
[6]杨禹伟,陈华,姜波,等.一种加工番茄品质的多性状评价方法[J].中国农业大学学报,2017,22(3):131-137.
[7]中华人民共和国农业部.加工用番茄:NY/T 1517-2007[S].北京:中国农业出版社,2008:1-2.
[8]中华人民共和国农业部.番茄酱加工技术规范:NY/T 1531-2007[S].北京:中国农业出版社,2008:2-4.
[9]Ghorabaee M K,Amiri M,Zavadskas E K,et al.Simultaneous Evaluation of Criteria and Alternatives(SECA)for MultiCriteria Decision-Making[J].INFORMATICA,2018,29(2):265-280.
[10]孙毅,孙慧,许鹏.基于TOPSIS的新疆15个地州市碳排放经济效率评价研究[J].新疆大学学报(自然科学版),2014,31(2):227-232+237.
[11]刘翔宇,赵龙,巴哈尔古丽·先木西,等.新疆陆地棉种质资源的综合评价[J].中国农业科学,2017,50(24):4679-4692.
[12]杨萌,袁逸萍,李明,等.基于熵权模糊法的新疆区域两化融合发展水平评价研究[J].新疆大学学报(自然科学版),2017,34(4):488-492.
[13]谢彦蓉,李孜军,徐志国.基于CRITIC法与TOPSIS法的硫化矿自燃倾向性评定[J].安全与环境学报,2014,14(1):122-125.
[14]Riesgo L,Gallegoayala J.Multicriteria Analysis of Olive Farms Sustainability:An Application of TOPSIS Models[M]//Lcuis M,Pl`a-Aragon′es.Handbook of Operations Research in Agriculture and the Agri-Food Industry.New York:Springer,2015,337-349.
[15]Peng X,Dai J.Hesitant fuzzy soft decision making methods based on WASPAS,MABAC and COPRAS with combined weights[J].Journal of Intelligent&Fuzzy Systems,2017,33(2):1313-1325.
[16]Walczak D,Rutkowska A.Project rankings for participatory budget based on the fuzzy TOPSIS method[J].European Journal of Operational Research,2017,260(2):706-714.
[17]Barrett D M.Future innovations in tomato processing[J].Acta Horticulturae,2015,1081:49-55