dstz
简介
dstz是一个用于证据理论的Python包，提供了一系列工具和函数，帮助用户处理和应用证据理论。
安装
使用pip安装dstz:
pip install dstz
例子
- 见
./example/conflict_example.py中实现了一个经典的证据冲突的融合。 - 见
./example/ppt.py中实现了一个pignistic probability transformation。 - 见
./example/moment.py中实现了一个计算证据对应的矩的例子。 - 见
./example/space_example.py中实现了一个计算证据对应的矩的例子。 - 见
./example/rps_example.py中实现了随机排列集左交融合的例子。 - 见
./example/wang_orthogonal_example.py中实现了论文Wang, Y., Li, Z., & Deng, Y. (2024). A new orthogonal sum in Random Permutation Set. Fuzzy Sets and Systems, 109034中的正交rps融合规则。
文档
完整的API文档和使用指南可在项目主页上找到。
支持与交流
有任何问题或建议，欢迎在GitHub Issues页面提交。
许可证
本项目遵循MIT License。
作者：Tianxiang Zhan 电子邮件：zhantianxianguestc@hotmail.com
致谢
感谢所有贡献者和社区成员的帮助和支持。
相关论文
本软件包的编程思想基于Zhan等人的论文，如果涉及相关内容，请引用相关文献。
@article{zhan2024generalized,
title={Generalized information entropy and generalized information dimension},
author={Zhan, Tianxiang and Zhou, Jiefeng and Li, Zhen and Deng, Yong},
journal={Chaos, Solitons \& Fractals},
volume={184},
pages={114976},
year={2024},
publisher={Elsevier}
}
@article{zhan2024random,
title={Random Graph Set and Evidence Pattern Reasoning Model},
author={Zhan, Tianxiang and Li, Zhen and Deng, Yong},
journal={arXiv preprint arXiv:2402.13058},
year={2024}
}
1 maintainer
Metadata
1 maintainer
Release files for dstz 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dstz-0.0.7.tar.gz | 23.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dstz-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.4 kB
Release files / dstz-0.0.7.tar.gz
| Download URL | dstz-0.0.7.tar.gz |
|---|---|
| Size | 23.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.11
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Release files / dstz-0.0.7-py3-none-any.whl
| Download URL | dstz-0.0.7-py3-none-any.whl |
|---|---|
| Size | 26.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.11
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