A Fuzzy Logic Rule Based Forecasting Model: Work-Life Balance in IT among Software vs. Services Industry on the View of Women Software Engineer

For any employee to work, flexi place be those who can function independently and have demonstrated dependability. Nowadays, the causes of employee performance problems are attributable to the work environment, not the employees. The only answer for this would be "Fix the systems in which our employees work!" The purpose of this study is to devise a generic fuzz logic rule based forecasting model specific to employee work-life balance and its effect on attrition and job dissatisfaction. This helps to explore the views of women in IT on issues that pertain to work-life balance among Software vs. Services industry as process and policy differs from organization to organization. This paper is focusing on constructing a generic fuzzy logic rule based forecasting model which will be used later to evaluate the survey data collected from Women IT engineers from Software Vs. Services Industry in Hyderabad. Fuzzy logic offers noteworthy advantages over other methods due to its ability to naturally represent qualitative aspect of work-life balance survey data and apply flexible inference rules thereby we can analyze the cause and effect which helps IT organization can establish right policy and process to deal with it.