共查询到20条相似文献,搜索用时 140 毫秒
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针对方案属性值为三参数区间灰数和模糊语言的混合型灰色多属性决策问题, 提出一种基于“离合”思想的混合灰靶决策方法. 首先, 定义三参数区间灰数的距离测度和排序方法; 然后, 鉴于灰信息与模糊信息相互转化的信息损失问题, 定义?? 维模糊球形灰靶和?? 维混合球形灰靶, 讨论正负靶心的情形, 并利用奖优罚劣原则构造综合靶心距, 建立混合正负靶心灰靶决策模型; 最后, 将所提出的方法应用于黄河宁蒙段防凌防汛的方案择优问题, 分析了属性权重和决策者风险偏好的选取对决策的影响, 结果验证了所提出方法的合理性和有效性.
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针对包含语言评价信息的三角模糊数型多属性决策问题,提出了一种新的多属性决策方法。该方法定义各方案与理想点的三角模糊数灰关联系数,通过求解最小最大偏差优化模型客观地确定了属性的权重,根据方案的灰关联度给出方案排序结果。应用实例验证了算法的有效性和实用性。 相似文献
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在借鉴王清印等人模糊灰集定义的基础上首次提出了边界模糊灰集和边界模糊灰数的概念,用正面信息区间隶属度和反面信息区间隶属度来描述边界元素,最后给出了粗集边界的模糊灰集均值等权白化处理法. 相似文献
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基于灰数带及灰数层的区间灰数预测模型 总被引:4,自引:1,他引:4
针对传统灰色预测模型仅适用于实数序列而无法进行灰数序列预测的缺陷,通过计算灰数层的面积以及灰数层中位线中点的坐标,在不损失已有灰数信息的前提下,将区间灰数序列转换成实数序列,然后建立一种基于区间灰数的新灰色预测模型.算例仿真验证了所提出模型的有效性及实用性. 相似文献
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Discrete tomography focuses on the reconstruction of images that contain only a few grey levels from their projections. By incorporating prior knowledge about the set of grey levels, the required number of projections can be reduced substantially. In practical applications, however, the number of grey levels is often known in advance, yet the actual grey level values are unknown. Moreover, it can be difficult to estimate these grey levels, particularly if only a small number of projections are available. In this paper, we propose a semi-automatic approach for grey level estimation that can be used as a preprocessing step before applying discrete tomography algorithms. After an initial, non-discrete reconstruction has been computed, the user first selects some regions that are likely to correspond with the respective grey levels. The fact that these regions should be constant in the original image is then used as prior knowledge in the grey level estimation algorithm. We present the results of a series of simulation experiments, demonstrating the accuracy and robustness of our approach. 相似文献
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基于发展趋势和认知程度的区间灰数预测 总被引:2,自引:0,他引:2
以GM(1,1)模型为代表的灰色预测模型实际上是对白数的建模和预测,而不是对区间灰数的建模和预测.发展趋势和认知程度两个维度可以很好地描述区间灰数序列,对此,可先将区间灰数序列转化成相应的发展趋势序列和认知程度,然后对区间灰数序列进行预测.这样,既避免了区间灰数预测过程中的灰数运算问题,又充分利用了区间灰数序列自身所包含的信息.通过具体实例验证了所建模型的有效性. 相似文献
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A grey method for designing the manufacturing process tolerances is proposed in the present study. Unlike previous approaches, the standardized process tolerance is viewed as an interval grey number with upper and lower bounds, and the whitening of the grey number is equivalent to allocating the process tolerances. As a result, the grey linear programming model is used to concurrently maximize the process tolerances with respect to each operation by finding a maximum value of the weighting coefficient in whitening the grey number. A comparison of the results indicates that the grey method generates least scrap rate 相似文献
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Forecasting analysis by using fuzzy grey regression model for solving limited time series data 总被引:2,自引:1,他引:1
Ruey-Chyn Tsaur 《Soft Computing - A Fusion of Foundations, Methodologies and Applications》2008,12(11):1105-1113
The grey model GM(1,1) is a popular forecasting method when using limited time series data and is successfully applied to
management and engineering applications. On the other hand, the reliability and validity of the grey model GM(1,1) have never
been discussed. First, without considering other causes when using limited time series data, the forecasting of the grey model
GM(1,1) is unreliable, and provide insufficient information to a decision maker. Therefore, for the sake of reliability, the
fuzzy set theory was hybridized into the grey model GM(1,1). This resulted in the fuzzy grey regression model, which granulates
a concept into a set with membership function, thereby obtaining a possible interval extrapolation. Second, for a newly developed
product or a newly developed system, the data collected are limited and rather vague with the result that the grey model GM(1,1)
is useless for solving its problem with vague or fuzzy-input values. In this paper the fuzzy grey regression model is verified
to show its validity in solving crisp-input data and fuzzy-input data with limited time series data. Finally, two examples
for the LCD TV demand are illustrated using the proposed models. 相似文献
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Renkuan Guo Charles Ernie Love 《国际自动化与计算杂志》2006,3(2):131-144
In this paper, we systematically discuss the basic concepts of grey theory, particularly the grey differential equation and its mathematical foundation, which is essentially unknown in the reliability engineering community. Accordingly, we propose a small-sample based approach to estimate repair improvement effects by partitioning system stopping times into intrinsic functioning times and repair improvement times. An industrial data set is used for illustrative purposes in a stepwise manner. 相似文献
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