A forecast about fuzzy regression and a case

The relationship based on a cause and effect relation between a dependant quantitative variable and one/or more independant quantitative variable is called regression, the mathematical expression that shows this relationship is called regression model. Fuzzy regression is one of the methods that can be used in solving the problems by providing facilities to consider both quantitative and qualitative variables in decision making process. Fuzzy regression is an alternative method which is used in some situations that are not suggested for classical regression implementations such as; all/or some of the datas? being fuzzy due to the ambiguous system structure or the system structure?s being unable to determine definite relations between variables. In this case, classical regression and fuzzy regression as a typical implementaion of a fuzzy logic are studied. In this scope, models are formed through forecast housing prices in Ankara and the results are evaluated due to the decision makers.