Skip to main content

Topsis

Project description

Topsis_102003487

TOPSIS

Submitted By: Avneet kaur_102003487.

Type: Package.

Title: TOPSIS method for multiple-criteria decision making (MCDM).

Version: 1.0.

Author: Avneet kaur.

Maintainer: Avneet kaur akaur1_be20@thapar.edu.

Description: Evaluation of alternatives based on multiple criteria using TOPSIS method..


What is TOPSIS?

TOPSIS is based on the concept that the chosen alternative should have the shortest geometric distance from the positive ideal solution (PIS) and the longest geometric distance from the negative ideal solution.It is a method of compensatory aggregation that compares a set of alternatives, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. The weights of the criteria in TOPSIS method can be calculated using Ordinal Priority Approach, Analytic hierarchy process, etc.


How to install this package:

>> pip install Topsis_102003487_Avneet

In Command Prompt

>> topsis 102003487-data.csv "1,1,1,1,1" "+,-,+,-,+" 102003487-result.csv

Input file (data.csv)

Fund Name P1 P2 P3 P4 P5
M1 0.67 0.45 6.5 42.6 12.56
M2 0.6 0.36 3.6 53.3 14.47
M3 0.82 0.67 3.8 63.1 17.1
M4 0.6 0.36 3.5 69.2 18.42
M5 0.76 0.58 4.8 43 12.29
M6 0.69 0.48 6.6 48.7 14.12
M7 0.79 0.62 4.8 59.2 16.35
M8 0.84 0.71 6.5 34.5 10.64

Output file (result.csv)

Fund Name P1 P2 P3 P4 P5 Topsis Score Rank
M1 0.67 0.45 6.5 42.6 12.56 20.58 2
M2 0.6 0.36 3.6 53.3 14.47 40.83 4
M3 0.82 0.67 3.8 63.1 17.1 30.07 3
M4 0.6 0.36 3.5 69.2 18.42 50.22 5
M5 0.76 0.58 4.8 43 12.29 10.41 1
M6 0.69 0.48 6.6 48.7 14.12 80.51 8
M7 0.79 0.62 4.8 59.2 16.35 70.74 7
M8 0.84 0.71 6.5 34.5 10.64 60.33 6

The output file contains columns of input file along with two additional columns having Topsis_score and Rank

Project details


Release history Release notifications | RSS feed

This version

1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

Topsis_AvneetKaur_102003487-1.0-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file Topsis_AvneetKaur_102003487-1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for Topsis_AvneetKaur_102003487-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c36b8e06eee3b84c33db2422c3cb52dc3d172fd6dcd9a992d9e47e6074013d2f
MD5 61f4ac0b604255b9171591f1a15c0368
BLAKE2b-256 c1f5f6b0f32e292cf772d59af8fb350d780a161438994f15b4b0a6b93be166e8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page