Heterogeneous Wireless Network Analysis by Fuzzy TOPSIS

In this article Heterogeneous wireless network using TOPSIS method. Ambiguous logic is the An approach to variable processing that allows multiple possible real values to be processed by one variable. Ambiguous logic seeks to solve problems through an open, inaccurate spectrum of data and horistics, making it possible to obtain a sequence of accurate results. Input and conversion fee of this kingdom. In different words, an ambiguous good judgment device operates on the principle of assigning a particular output depending at the possibility of the enter country, even as ambiguous logic control structures are used efficiently in lots of fields, together with engineering, photograph processing, strength engineering, and industry. Robotics Consumer Electronics and Development. This field of mathematics has revived long-defunct fields of science. Fuzzy Matching is a technique used to identify two elements of text, strings or inputs. For example, the list of hotels in New York will show graphics below Expedia and Brick line, which is a vague choice for using the fzf tool. This allows you to filter all terminal based task labels. UI and an intelligent ambiguous discovery algorithm. If fzf binary is not installed, you will be prompted to bootstrap it first. We are taken as Network 1, Network 2, Network 3 and Network 4 are alternatives. We are taken as Delay (msec), Jitter (msec), BER (· 10), Throughput (kbps) and Cost (units) are Implication parameter. The TOPSIS methods is the most ideal solution Short-distance and negative-best the solution with the longest distance from the solution Determines, but the comparison of these distances Does not consider importance. From the result it is seen that Network 3 got the first rank whereas is the Network 1 is having the lowest rank.