A new approach of utility function based on fractional Gini aggregation operator for intelligent access web selection

Abstract

The intelligent network access selection applied by the wireless communication device is designed by a decision making problem. The technique comprises getting data related to a mobile device; the data include position data connected with the mobile device. In this paper, we propose a new single-vision and multi-vision utility processes based on the utility theory. Moreover, we apply a new approach to define a new class of utility functions by utilizing the concept of Gini aggregation operator together with the idea of ordered weighted averaging. Mathematical schemes and numerical analysis slow down the ability and the practicality of our suggested simulations.