Summary of A Python Framework For Neutrosophic Sets and Mappings, by Giorgio Nordo et al.
A Python Framework for Neutrosophic Sets and Mappings
by Giorgio Nordo, Saeid Jafari, Arif Mehmood, Bhimraj Basumatary
First submitted to arxiv on: 24 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The presented open-source framework in Python consists of three classes designed to manipulate neutrosophic sets over various universes in a simple and intuitive manner. Building upon previous attempts, the framework extends and generalizes existing software solutions for neutrosophic set manipulation. The code is described in detail, accompanied by numerous examples and use cases. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper develops an open-source Python framework to easily work with symbolic representations of neutrosophic sets and their mappings. It improves upon previous attempts at creating software for neutrosophic set manipulation, making it a useful tool for researchers and developers. |
