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基于GPFBM算法优选图像处理系统供应商

Image Processing System Supplier Evaluation Model Based on Generalized Pythagorean Fuzzy Bonferroni Mean Operator
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摘要 针对评价信息为Pythagorean模糊数、评价信息间存在关联性的图像处理系统供应商评价问题,首先,定义了基于广义三角范数的Pythagorean模糊数基本运算;然后,将Bonferroni平均融入信息集成算法的设计过程中,提出了广义Pythagorean模糊Bonferroni平均(GPFBM)算子,并讨论了GPFBM算子的4个优良特征性质和常用算子形式;紧接着,构造了基于GPFBM算子的图像处理系统供应商评价模型,该模型不仅考虑了输入评价值之间的关联性,而且拓展了评价模型的使用范围;最后,通过实例验证了该模型的有效性和可行性。 Aiming at the problem of image processing system supplier evaluation in which evaluation information is Pythagorean fuzzy number and there is a correlation between evaluation information.First,the basic operations of Pythagorean fuzzy number based on generalized trigonometric norm are defined.Then,a generalized Pythagorean fuzzy Bonferroni mean(GPFBM)operator is proposed by using the Bonferroni mean.Four excellent characteristics and common operator forms of GPFBM operator are discussed.In addition,an image processing system supplier evaluation model based on GPFBM operator is constructed,which not only considers the correlation between input evaluation values,but also expands the application scope of the evaluation model.Finally,an example is given to verify the validity and feasibility of the proposed model.
作者 任志敏 REN Zhi-min(School of Mechanotronic Technology,Changzhou Vocational Institute of Textile and Garment,Changzhou 213164,China)
出处 《控制工程》 CSCD 北大核心 2021年第5期955-962,共8页 Control Engineering of China
关键词 Pythagorean模糊集 Bonferroni平均 信息融合算法 评价模型 图像处理系统 Pythagorean fuzzy set Bonferroni mean information fusion algorithm evaluation model image processing system
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