Group-decision making with induced ordered weighted logarithmic aggregation operators

This paper presents the induced generalized ordered weighted logarithmic aggregation (IGOWLA) operator, this operator is an extension of (GOWLA) operator. It uses order-induced variables that modify reordering process arguments included in aggregation. The principal advantage introduced mechanism consideration highly complex attitude from decision makers. We study some families IGOWLA as measures for characterization weighting vector. general formulation and special cases, including geometric averaging (IOWLGA) (IOWLA). Further generalizations using quasi-arithmetic mean are also proposed. Finally, illustrative example a group decision-making procedure multi-person analysis area innovation management analyzed.