模糊综合评价法在新疆葡萄质量评价分析中的应用

Evaluation of the Quality of Xinjiang Grapes with Fuzzy Comprehensive Evaluation Model

摘要:

本文选取具有代表性的4种不同品种的新疆葡萄，经过物理指标和营养成分的检测，并用模糊综合评价法对新疆代表葡萄种类进行评价。通过五组不同原则构建的权重模型来对葡萄样品进行评价，以期对其品质进行较为全面综合的评价和分析，得到的主要研究结果如下：不同品种新疆葡萄各指标有较为明显的品种差别，如无核白葡萄和马奶子葡萄的可溶性固形物含量差别能够达到10%以上；以穗重、粒重、可溶糖、总酸、Vc、蛋白质、氨基酸、膳食纤维以及糖酸比等指标作为葡萄品质统计评价要素建立新疆葡萄模糊综合评价法模型；通过五组依据不同的侧重点构建的权重模型对新疆葡萄检测结果进行计算分析，认为新疆地区主栽葡萄品种无核白（两组排名最优0.8662，0.7364）和木纳格（三组排名最优0.7508，0.7908，0.6345）在综合评价中具有较明显的优势，为新疆葡萄发展趋势提供参考价值。

Abstract:

This article chooses 4 kinds of different Grapes, detects their physical index and nutrition composition, and uses fuzzy comprehensive evaluation method to evaluate the typical types of Xinjiang grapes. Evaluate the grapes by 5 different kinds of factor model, and analyze their quality comprehensively. The results are as follows: Obviously, different kinds of Xinjiang grapes vary from one index to another, such as the difference of soluble solids content between Seedless white grapes and Horse-milk wine can reach at least 10%. Take spike weight, kernel weight, soluble sugar, total acid, Vc, protein, amino acids, dietary fiber, sugar acid ratio and the like as grape quality evaluation elements to establish Xinjiang grapes fuzzy comprehensive evaluation model; Five models are built by different main points. By calculating the detecting results of Xinjiang grapes, and analyzing them, there is a conclusion that the predominant grapes in Xinjiang, the Seedless white grapes (two groups of rank optimal 0.8662, 0.7364) and Munage grapes (three groups of rank optimal 0.7508, 0.7908, 0.6345), have more obvious advantages in the comprehensive evaluation, and the research will be a valuable reference for further Xinjiang grape development.