Topsis-Jasween-102017187 0.5

Topsis-Jasween-102017187 is a Python library to solve Multiple Criteria Decision Making(MCDM) problems by using TOPSIS

TOPSIS

Goals of this project :

• Learn about mathematics of TOPSIS Algorithm
• Implementation of TOPSIS Algorithm using python. The code for same is available in 102017187.py file
• Create a package and publish it on (https://pypi.org/). Also, provide a user manual for it.
• Test the package by installing it and run it through command line.
• Create a web app for TOPSIS

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What is TOPSIS ?

• Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria-based decision-making method
• {Eg. You want to purchase a mobile phone. But you are confused because there are so many factors like price, memory, battery, camera quality etc. So, TOPSIS provides you the solution.}
• It is a way to allocate the ranks on basis of the weights and impact of the given factors.

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How to install this package ?

On command prompt type :
pip install Topsis-Jasween-102017187
(along with version, copy it from top left corner under package name)

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Example of how to use it on command line:

On command prompt type :
Usages: topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>
eg. topsis C:\Users\username\Downloads\102017187-data.csv "1,1,1,1,1" "+,-,+,-,+" C:\Users\username\Downloads\resultant.csv

Parameters:

Arguments	Description
InputDataFile	Input CSV file path
Weights	Comma separated numbers
Impacts	Comma separated either '+' or '-'
ResultFileName	Output CSV file path

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• It accepts input file (which contains parameters and their values in csv format) and weights and impacts.
• It creates a output file(.csv), that contains the original data with Topsis Score and Ranks.

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Sample Input File

Fund Name	P1	P2	P3	P4	P5
M1	0.94	0.88	5.6	34.9	10.58
M2	0.94	0.88	4.5	32.7	9.76
M3	0.74	0.55	4.4	57.8	15.87
M4	0.60	0.36	5.0	63.0	17.24
M5	0.61	0.37	3.4	65.3	17.42
M6	0.74	0.55	6.9	44.4	13.15
M7	0.65	0.42	5.4	62.9	17.34
M8	0.63	0.40	7.0	64.5	18.13

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Sample Output File:

Fund Name	P1	P2	P3	P4	P5	Topsis Score	Rank
M1	0.94	0.88	5.6	34.9	10.58	0.441618	7
M2	0.94	0.88	4.5	32.7	9.76	0.405738	8
M3	0.74	0.55	4.4	57.8	15.87	0.48147	6
M4	0.60	0.36	5.0	63.0	17.24	0.565738	4
M5	0.61	0.37	3.4	65.3	17.42	0.500978	5
M6	0.74	0.55	6.9	44.4	13.15	0.631272	1
M7	0.65	0.42	5.4	62.9	17.34	0.572967	3
M8	0.63	0.40	7.0	64.5	18.13	0.623423	2

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Be careful about these, otherwise you will get an error :

• Correct no. of parameters must be provided in command line
• Input file must be in csv format and must be present
• Input file must contain three or more columns
• Input file: first column is the object/variable name (e.g. M1, M2, M3, M4…...)
• Input file: from 2nd to last column the valuse should be only numeric
• Result file should be .csv file
• Weights and impacts should be in correct format and separated by ","
• Number of weights, number of impacts and number of columns (from 2nd to last columns) must be same.
• Impacts must be either +ve or -ve

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