Abstract:

The Intuitionistic fuzzy set theory gives quite successful results in decision-making processes when compared to other set theories. For this reason, it finds application areas in many areas of daily life such as political science, robotic systems, economic research, medical studies. The success of the IFS concept in decision-making processes in these areas has also been proven. In this study, it is aimed to create an IFS model that can make suggestions to support the end user in the process of choosing a product. Hamming measure will be used to achieve this goal. As per the definition of this measure, the degree of non-membership of the data is as important as the degree of membership. These values also determine the degree of intuition. However, the easier it is to estimate the yield value of a property of an object, the more difficult it is to estimate the non-fulfillment value. For this reason, in this study, the data will be intuitiveized by the controlled set theory and the relationships with the results will be determined. In all these processes The Microsoft SQL Server data structure for coding was used and algorithms were created according to this coding. A healthy evaluation of the data is as important as the value of the data's feature of not having that feature. This situation is the most important factor determining the value of intuition.

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