An Extensive Result Analysis of Extracting Movement Patterns Using Fuzzy and Neuro-Fuzzy Methods

Abstract

Several applications, including vehicle navigation, fleet management, animal tracking, and mobile phone tracking, create significant amounts of data about movement. To keep up with the ever-increasing amounts of movement, these apps need more assistance. Data it is essential to know how a thing travels in both space and time in order to understand it construction of a model for the object's movement. Objects of all shapes and sizes are constantly changing. In flux, as do their relative inclinations. The capacity to rationally evaluate shifting ideologies Thus, the movement of things across time is critical. Descriptions of a creature's motions it is necessary to provide explanations of the patterns that an item displays throughout time and place. With every step, several different patterns may be seen in the item, some of which are repeated but not exactly. Like a scavenger animal or a delivery vehicle navigating the streets of a metropolis. Even Despite the fact that their movement patterns aren't identical, they're not wholly unlike either. Even if the routes of the moving items are quite similar, they may visit the same places. Over time in different settings. Fuzzy techniques are discussed in this study.