Skip to main content

The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision analysis method, which was originally developed by Ching-Lai Hwang and Yoon in 1981 with further developments by Yoon in 1987, and Hwang, Lai and Liu in 1993. 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 (NIS).

To run on command line python3 topsis.py diabetes.csv "1,2,5,10,1,2,1,1,2" "-,+,+, -, +, +,+,-, +"

Metadata

Release files for 101703573-Topsis-pkg-suruchipundir 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for 101703573-Topsis-pkg-suruchipundir 0.0.1
File Interpreter ABI Platform Actions
101703573_Topsis_pkg_suruchipundir-0.0.1-py3-none-any.whl Python 3 none any Details for 101703573_Topsis_pkg_suruchipundir-0.0.1-py3-none-any.whl

Release files / 101703573_Topsis_pkg_suruchipundir-0.0.1-py3-none-any.whl

Download URL 101703573_Topsis_pkg_suruchipundir-0.0.1-py3-none-any.whl
Size 2.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b29e93480f8c04d4f9fc9c412ee91a4b6695b252eeee6813d716cc325d19be74
BLAKE2b-256 checksum
How to use checksums
3436d88d10934794a8bf9da4c09729c506a19cfe426d2827645a8e0f73df1092
Upload date
Uploaded using Trusted Publishing?
What is 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/3.6.8

Security for 101703573-Topsis-pkg-suruchipundir 0.0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.1 This release

1 release file No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page