A command line python program to implement the Topsis TOPSIS PACKAGE - Assignment 1 I have developed a command line python program to implement the TOPSIS. TOPSIS (technique for order performance by similarity to ideal solution) is a useful technique in dealing with multi-attribute or multi-criteria decision making (MADM/MCDM) problems in the real world
Installation pip install topsis-Dev-102117160
Usage Please provide the filename for the CSV, including the .csv extension. After that, enter the weights vector with values separated by commas. Following the weights vector, input the impacts vector, where each element is denoted by a plus (+) or minus (-) sign. Lastly, specify the output file name along with the .csv extension.
py -m topsis.main [input_file_name.csv] [weight as string] [impact as string] [result_file_name.csv]
Example Usage The below example is for the data have 5 columns. py -m topsis.main "C:\User...." "1,1,2,0.5,0.75" "+,+,-,-,-" "C:\User....."
Example Dataset Fund Name P1 P2 P3 P4 P5 M1 0.78 0.61 5.5 34.7 10.4 M2 0.88 0.77 5 58.4 16.26 M3 0.61 0.37 5.9 39.9 11.7 M4 0.76 0.58 4.2 57.7 15.81 M5 0.84 0.71 3.2 48 13.19 M6 0.76 0.58 4 68.8 18.54 M7 0.81 0.66 6.5 38.2 11.54 M8 0.81 0.66 3.2 32.8 9.37 Output Dataset Fund Name P1 P2 P3 P4 P5 TOPSIS Score Rank M1 0.78 0.61 5.5 34.7 10.4 0.5303740545041122 4 M2 0.88 0.77 5 58.4 16.26 0.5372510220778413 3 M3 0.61 0.37 5.9 39.9 11.7 0.4715707210914604 8 M4 0.76 0.58 4.2 57.7 15.81 0.5099483054760279 6 M5 0.84 0.71 3.2 48 13.19 0.57723478293325 1 M6 0.76 0.58 4 68.8 18.54 0.49447887833737925 7 M7 0.81 0.66 6.5 38.2 11.54 0.5244107252631429 5 M8 0.81 0.66 3.2 32.8 9.37 0.5576533672285703 2 Important Points There should be only numeric columns except the first column i.e. Fund Name. Input file must contain atleast three columns.