This paper proposes a grey interval relation TOPSIS for the decision making in which all of the attribute weights and attribute values are given by the interval grey numbers. The feature of our method different from other grey relation decision-making is that all of the subjective and objective weights are obtained by interval grey number and that decisionmaking is performed based on the relati...

This research work focuses on integrating the multi attribute decision making with data mining in a fuzzy environment for customer relationship management. The main objective is to analyse relation between and considering complex problem of ordering customers segments, which based four criteria customer’s life time value, viz. length (L), recency (R), frequency (F) monetary value (M). proposed ...