Utility function for intelligent access web selection using the normalized fuzzy fractional entropy

Abstract

An intelligent access web selection must have an illustration of the favorites for making decisions. For this, we will use the theory of a utility function describing which situations are better for the costumers. Obviously, such utility is qualified and achieved all properties. We propose new single-pattern and multi-pattern utility procedures to best capture the user agreement and sensitivity facing up to a package of access web features. Mathematical propositions and numerical analysis slow down the ability and the practicality of our proposed simulations. For this purpose, we utilize a new methodology which is based on the concept of fractional entropy. This concept has a dominant effect on information theory.