ضریب جینی برای داده‌های فازی

وجود هم خطی چندگانه در مدل های رگرسیون چندگانه برآورد ضرایب رگرسیونی را تحت تاثیر قرار می دهد به همین علت تفسیر مناسب و گویایی از مدل رگرسیونی بدست نمی آید.

gini coefficient for fuzzy data

poverty and inequality is one of the great problems that human societies have faced throughout history. hence, one of the most important goals of world governments is to reduce poverty and inequality. gini coefficient is one of the most common and widely used indicators for measuring economic inequality. since much of the actual data on individuals’ income and expenditure may be inaccurate, it seems necessary to expand the concept of gini coefficient in a fuzzy environment. in this paper, we examine the gini coefficient based on fuzzy observations. in the end, the presented methods are described using a real example.