Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)

Research on Algorithm of Renting Extenics Strategy Generating System

Authors
Jianxin Li
Corresponding Author
Jianxin Li
Available Online April 2017.
DOI
10.2991/icmse-17.2017.40How to use a DOI?
Keywords
Extenics; extenics transformation; strategy generation; renting
Abstract

Facing massive house rental information, the tenants consider many factors. Usually, it is difficult for them to make an optimal strategy. Considering the large amount of storage, fast computing and other characteristics, if introducing computer technology to assist in generating and evaluating strategies, it can greatly improve the level of human decision-making. Therefore, this paper explores the combination of decision science and extenics, using computer to generating strategies and evaluating strategies to improve decision-making level of decision-makers and the level of machine intelligence.

Copyright
© 2017, 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 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/icmse-17.2017.40
ISSN
2352-5401
DOI
10.2991/icmse-17.2017.40How to use a DOI?
Copyright
© 2017, 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  - Jianxin Li
PY  - 2017/04
DA  - 2017/04
TI  - Research on Algorithm of Renting Extenics Strategy Generating System
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 220
EP  - 223
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.40
DO  - 10.2991/icmse-17.2017.40
ID  - Li2017/04
ER  -