TOPSIS

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

Version: 1.0.0.

Author: Rohit Thapar.

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

Link: https://rohitthapar-topsis-rohitthapar-102003482-app-q8si51.streamlit.app/

How to install this package:

>> pip install topsis-rohitThapar-102003482

In Command Prompt

>> topsis data.csv "1,1,1,1,1" "+,+,-,+,-" output.csv

Input file (data.csv)

Fund Name          P1        P2        P3        P4        P5    

---

0 M1 0.395818 0.419886 0.221712 0.485574 0.467084
1 M2 0.271291 0.196656 0.221712 0.485574 0.4624
2 M3 0.413607 0.457091 0.286079 0.45586 0.446787
3 M4 0.302422 0.244491 0.479183 0.28917 0.310695
4 M5 0.271291 0.196656 0.479183 0.226118 0.252928
5 M6 0.413607 0.457091 0.221712 0.226118 0.234713
6 M7 0.413607 0.457091 0.286079 0.28917 0.297164
7 M8 0.302422 0.244491 0.479183 0.226118 0.253969

Output file (result.csv)

Fund Name          P1        P2        P3        P4        P5    Topsis Score    Rank

---

0 M1 0.395818 0.419886 0.221712 0.485574 0.467084 0.924217 1 1 M2 0.271291 0.196656 0.221712 0.485574 0.4624 0.591977 3 2 M3 0.413607 0.457091 0.286079 0.45586 0.446787 0.864965 2 3 M4 0.302422 0.244491 0.479183 0.28917 0.310695 0.208741 6 4 M5 0.271291 0.196656 0.479183 0.226118 0.252928 0.0340168 8 5 M6 0.413607 0.457091 0.221712 0.226118 0.234713 0.530087 5 6 M7 0.413607 0.457091 0.286079 0.28917 0.297164 0.577036 4 7 M8 0.302422 0.244491 0.479183 0.226118 0.253969 0.110191 7

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