DECISION MAKING TECHNIQUES IN A UNIFIED MODEL BETWEEN THE WEIGHTED AVERAGE AND THE OWA OPERATOR

We develop a new decision making model that uses a unified framework between the weighted average and the ordered weighted averaging (OWA) operator. This model is based on the use of similarity measures such as the adequacy coefficient and the index of maximum and minimum level. Moreover, it also uses the ordered weighted averaging weighted average (OWAWA) operator. Thus, we get some new aggregation operators such as the OWAWA adequacy coefficient (OWAWAAC) and the OWAWA index of maximum and minimum level (OWAWAIMAM) operator. We develop an application of the new approach in a decision making problem concerning the selection of strategies. We see that each method may lead to different results.