利用概念化图片模糊软集确定最佳学校

Mardiatul Faizah, Azmi Nazra, Nova Noliza Bakar
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引用次数: 0

摘要

确定教育系统中的最佳学校是一项重要任务。确定最佳学校的一种方法是使用广义图片模糊软集(GPFSS)概念。GPFSS 是图片模糊软集 (PFSS) 概念的延伸,其中每个参数都定义了一个图片模糊集 (PFS),说明了参数的重要程度。本研究提出了确定最佳学校的 GPFSS 方法。这种方法基于对几个因素的考虑,即学校环境质量、学校设施质量、教师质量、学习过程质量和学校成绩。研究结果表明,GPFSS 方法可以准确地确定最佳学校。基于 GPFSS 方法的最佳学校具有良好的学校环境、设施、优质教师、学习过程和良好的学校成绩。
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Determining the Best School using the Concept Generalized Picture Fuzzy Soft Set
Determining the best school in the education system is an essential task. One approach that can be used to determine the best school is using the generalized picture fuzzy soft set (GPFSS) concept. GPFSS is an extension of the picture fuzzy soft set (PFSS) concept in which each parameter is defined a picture fuzzy set (PFS) stating the level of importance of the parameter. This research proposes the GPFSS approach to determine the best schools. This approach is based on consideration of several factors, namely the quality of the school environment, the quality of school facilities, the quality of teachers, the quality of the learning process, and school achievement. The research results show that the GPFSS approach can accurately determine the best schools. The best schools based on the GPFSS approach have a good school environment, facilities, quality teachers, learning processes, and good school performance
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