Skip to main content

Topsis package for MCDM(Multiple Criteria Decision Making)

Project description

-- coding: utf-8 --

""" Created on Thu Jan 23 14:23:45 2020

@author: naman """

TOPSIS

A python package for implementation of multiple criteria decision making using TOPSIS method.

Topsis is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, 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. An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. Normalisation is usually required as the parameters or criteria are often of incongruous dimensions in multi-criteria problems.Compensatory methods such as TOPSIS allow trade-offs between criteria, where a poor result in one criterion can be negated by a good result in another criterion. This provides a more realistic form of modelling than non-compensatory methods, which include or exclude alternative solutions based on hard cut-offs.

Project details


Download files

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

Files for Topsis-101883055-Naman-Goyal, version 0.0.2
Filename, size File type Python version Upload date Hashes
Filename, size Topsis_101883055_Naman_Goyal-0.0.2-py3-none-any.whl (4.3 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size Topsis_101883055-Naman_Goyal-0.0.2.tar.gz (2.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page