Solving Multiple Attribute Group Decision Making MAGDM problems has become one of the most important researches in recent days. In situations where the information or the data is of the form of an Intuitionistic Triangular Fuzzy Number ITrFN or Intuitionistic Trapezoidal Fuzzy Number ITzFN, a new distance function is defined for ranking the alternatives in the decision making process. After processing the decision information through a sequence of arithmetic aggregation operators, namely, the Intuitionistic Triangular Fuzzy Weighted Arithmetic Averaging ITrFWAA, Intuitionistic Triangular Fuzzy Ordered Weighted Averaging ITrFOWA operator and the Intuitionistic Triangular Fuzzy Hybrid Aggregation ITrFHA operator, the proposed distance function is utilized to rank the best alternative. A model is proposed to solve MAGDM problems using the developed distance formula defined for ITrFNs. Numerical illustration is provided and comparisons are made with some of the existing MAGDM models and ranking procedures.
['P John Robinson']
Multiple Attribute Group Decision Analysis for Intuitionistic Triangular and Trapezoidal Fuzzy Numbers