摘要
DTOPSIS法为逼近理想解的排序法，是一种对数据进行综合处理的模型。介绍了其原理和计算方法，并采用组合权重法确定各指标性状权重值，建立了基于信息熵和特尔菲法确定权重的DTOPSIS法决策模型。该模型既考虑了主观因素的影响，又考虑了样本指标体系中所固有的信息的重要性，并通过实例验证了该方法的合理性，为提高棉花品种综合评价的科学性和准确性提供了新思路。
Abstract
The method of DTOPSIS is a technique for order preference by similarity to ideal solution, which is a model to comprehensively process the data.The principle and calculation method were introduced.Combined weight method was used to determine the weighted value of each index.DTOPSIS decision model was established based on information entropy and Delphi method, which considered the influence of sub-jective factor, but also the importance of inherent information in sample index system.Rationality of this method was verified by the living ex-ample, which provided a new thought for enhancing the accuracy and scientificity of the comprehensive evaluation of cotton.
国家科技期刊平台
NSTL
维普
万方数据