A Multiple Attribute Group Decision Making (MAGDM) problem is to find a desirable solution from a finite number of feasible alternatives assessed on multiple attributes - quantitative and qualitative. Attaching numerical measures to attributes involved in a MAGDM problem needs a careful study of the problem. There are various techniques available for attaching numerical measures, namely, the Weighted Averaging (WA), Ordered Weighted Averaging (OWA), Induced-OWA, Ordered Weighted Geometric (OWG), Induced-OWG, etc., out of which a suitable one should be chosen. New MAGDM algorithms using a variety of these operators are proposed. Correlation Coefficient is used as a tool for ranking different alternatives in the decision making problems. Further, Data mining techniques like, Association Rules and Correlation Rule Mining are fused into the Decision Making problems to make the ranking process more effective.

Dr. John Robinson is working as Assistant Professor of Mathematics, Bishop Heber College, Tiruchirappalli, India. He has more than ten years of teaching and research experience. His areas of research are Fuzzy set Theory, Fuzzy Decision Analysis, Fuzzy Data Mining with Bio-Statistics and Fuzzy Optimization. He is a research guide for Mphil and PhD.