A General View of TOPSIS Method Involving Multi-Attribute Decision Making Problems
P. K. Parida
P. K. Parida, Department of Mathematics, C.V. Raman College of Engineering, Bhubaneswar, India.
Manuscript received on November 17, 2019. | Revised Manuscript received on 26 November, 2019. | Manuscript published on December 10, 2019. | PP: 1-7 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7745129219/2019©BEIESP | DOI: 10.35940/ijitee.B7745.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Euclidian Distance, Interval Numbers, MADM, Temperature, TOPSIS.
Scope of the Article: Emulation and Simulation Methodologies for IoT