Evaluation of The Quality of life outcomes of Women and Man with coronary artery disease using fuzzy regression analyses

Regression is one of the efficient tools that are used in statistics. Obviously, when we want to explain the an accuracy between statistic variables caused by fuzzy quantities instead of probable structure, we should create other tools that enable us to estimate uncertain parameters under condition of new structure. Fuzzy linear regression is a method for estimation of fuzzy parameters that can be useful for estimation of relationship between variables, when the number of observations is few and the interaction of those is vague and uncertain. When speak on phrases like quality of life, intelligence quotient, etc., we will find out there is no precise and classic definition and seems that there is not any position for these concepts and tools in determining effective agents in the theorem of classic sets. A result in respect to this prospect and aim of research, we consider the effective agents on quality of life of heart diseases using fuzzy linear regression that has been developed by Tanaka.