AN EXTENDED TOPSIS METHOD BASED ON GENERALIZED WEIGHTED DICE SIMILARITY MEASURE AND INTUITIONISTIC PREFERENCE RELATION WITH INTUITIONISTIC FUZZY MULTI ATTRIBUTE DECISION MAKING
A. R. Mystica and M. M. M. Merlin
The intention of this paper is to utilize the weighted generalized dice similarity measure in TOPSIS method to frame a new algorithm. In order to determine the weight vector, an Intuitionistic preference relation is included in the new algorithm because the concept, weight of the attribute is indispensable to evaluate the alternatives. Too intrinsic the idea of the proposed algorithm a real life problem called prioritizing the branded printers is analyzed and finally arranged/ranked in the non-increasing order.
Keywords: Intuitionistic Fuzzy Set, Dice similarity measure, Intuitinoistic preference relation, branded printers.