Open AccessA General View of TOPSIS Method Involving Multi-Attribute Decision Making Problems
Author(s) -
Prashanta Kumar Parida
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7745.129219
Subject(s) - topsis , ideal solution , scope (computer science) , simple (philosophy) , simplicity , rationality , similarity (geometry) , computer science , measure (data warehouse) , ideal (ethics) , set (abstract data type) , operations research , management science , mathematics , data mining , artificial intelligence , engineering , philosophy , physics , epistemology , political science , law , image (mathematics) , thermodynamics , programming language
The TOPSIS method, commonly known as the technique for order performance by similarity to ideal solutions, is one of the most popular approaches used in the multi-attribute decision making (MADM). In this method has some advantages are simplicity, rationality, comprehensibility, good computational efficiency and ability to measure the relative performance for each alternative in a simple mathematical form. In the last four decades world is getting warmer. It is whether the cause of human activity or natural variability. The thermometer reading all round the world have risen steadily since the beginning of the industrial revolution. According to the ongoing temperature analysis conducted by scientist at NASA’s Goddard Institute for Space Studies (GISS), the average global temperature on the Earth has increased about 0.80 Celsius since 1880. So, applying this method to determines the best solution from a set of alternatives with certain attributes. The best alternative is chosen based on its Euclidean distance from the ideal solution. The aim of this paper to systematizes the knowledge within the scope of techniques of decision taking with the use of the TOPSIS method. Simple numerical examples that reference real situations show practical applications of different aspects of this method.