Topsis package
Project description
Topsis stands for The Technique for Order of Preference by Similarity to Ideal Solution. It is used for multi-criteria decision making.Topsis is based on the concept that the chosen alternative should have the shortest geometric distance from the positive ideal solution and the longest geometric distance from the negative ideal solution. The user needs to give the name of the dataset on which Topsis is to be performed and the weights and impacts.The impacts should contain only '+' and '-' signs. python Arsh_Topsis.py Dataset weights impacts
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file Topsis_Arsh-0.0.2.tar.gz.
File metadata
- Download URL: Topsis_Arsh-0.0.2.tar.gz
- Upload date:
- Size: 2.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2744018d4cd2bcc04c95ebabdc05a624297fb425793770e46eee18e0798b4553
|
|
| MD5 |
c03b97dd311d98a717cd36e45489691e
|
|
| BLAKE2b-256 |
35d8e4e5f9989f76dcad1588fb26b529ba0af2729a802557bd1e90777ad69b59
|
File details
Details for the file Topsis_Arsh-0.0.2-py3-none-any.whl.
File metadata
- Download URL: Topsis_Arsh-0.0.2-py3-none-any.whl
- Upload date:
- Size: 3.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8e24990dfd715c2218465b06e153c317cacb1041a216848ce981cf64c5b2639c
|
|
| MD5 |
6b4f665097a236450950ba620f8d9b10
|
|
| BLAKE2b-256 |
ce2d3604a948928f7ceaa8e5da0608037d7763442fee76d8a3c5fcbd37a40373
|