semvec/pypi-packages huggingface dataset:
topsis-jatin-101866020 0.0.1
topsis score and rank calculator
License: MIT
Keywords: topsis

What is TOPSIS:  
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution. More

How to use this package:  
TOPSIS-Jatin-101866020 can be run as in the following example:

In Command Prompt:  
>> topsis-jatin-101866020 data.csv "1,1,1,1" "+,+,-,+" result.csv
TOPSIS-Adit-101803147 0.1
Topsis Implementation
License: MIT
Keywords: TOPSIS,101803147,Adit Aggarwal

# TOPSIS

It 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.

### Installation

```sh
>> pip install TOPSIS-Adit-101803147=0.1
```
### How to run in command prompt

```sh
>> from TOPSIS_Adit_101803147.topsis import topsis
>> topsis("data.csv","1,1,1,2","+,+,-,+","result.csv")
```

### Input File (data.csv)
1) Input file contain three or more columns
2) First column is the object/variable name (e.g. M1, M2, M3, M4â€¦...)
3) From 2nd to last columns contain numeric values only

### Output File (result.csv)
Result file contains all the columns of input file and two additional columns having
TOPSIS SCORE and RANK

License
----

MIT



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