Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Research on the Degree of Confidence of the Commodity Based on Fuzzy Comprehensive Evaluation

Authors
Mingshan Xie, Yanfang Deng
Corresponding Author
Mingshan Xie
Available Online November 2016.
DOI
10.2991/icmia-16.2016.155How to use a DOI?
Keywords
Fuzzy comprehensive evaluation; commodity confidence prototype; commodity attribute
Abstract

In order to enhance the accuracy of precision marketing of goods and improve the precision of the intelligent search engine, we build the confidence model of commodity by means of using the fuzzy comprehensive evaluation method, to calculate the commercial confidence, which can be used as the foundation of the commodity precision marketing and recommendation computation.

Copyright
© 2016, 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 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-256-5
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.155How to use a DOI?
Copyright
© 2016, 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  - Mingshan Xie
AU  - Yanfang Deng
PY  - 2016/11
DA  - 2016/11
TI  - Research on the Degree of Confidence of the Commodity Based on Fuzzy Comprehensive Evaluation
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.155
DO  - 10.2991/icmia-16.2016.155
ID  - Xie2016/11
ER  -