Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)

FCM Application Research of Tax Decision Support System

Authors
Yinghui Jia
Corresponding Author
Yinghui Jia
Available Online May 2019.
DOI
10.2991/bems-19.2019.62How to use a DOI?
Keywords
tax decision; Support system; FCM algorithm.
Abstract

in order to improve the management of tax decisions, tax decision support system has been added to the current tax decisions. Its purpose is mainly to analyze the basic data generated in tax decisions, so as to summarize the operation rules and provide more auxiliary information. This paper will study the application of FMC algorithm in the tax decision support system, summarize the connotation of tax decision and FMC algorithm, summarize its significance, and combine the mathematical model and classification of fuzzy clustering analysis, so as to obtain the specific application of FMC algorithm in the tax decision support system.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
May 2019
ISBN
10.2991/bems-19.2019.62
ISSN
2352-5428
DOI
10.2991/bems-19.2019.62How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yinghui Jia
PY  - 2019/05
DA  - 2019/05
TI  - FCM Application Research of Tax Decision Support System
BT  - Proceedings of the 1st International Conference on Business, Economics, Management Science (BEMS 2019)
PB  - Atlantis Press
SP  - 347
EP  - 350
SN  - 2352-5428
UR  - https://doi.org/10.2991/bems-19.2019.62
DO  - 10.2991/bems-19.2019.62
ID  - Jia2019/05
ER  -