Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A Linguistic Decision Model for Promotion Mix Management Based on Genetic Algorithms

Authors
Xihui Li1, Zheng Pei, Hua Zhao
1College of Computer & Mathematical Science, Xihua University
Corresponding Author
Xihui Li
Available Online October 2007.
DOI
10.2991/iske.2007.252How to use a DOI?
Keywords
Linguistic decision model; the LOWA operator; Genetic algorithms; Evaluation function
Abstract

As we know, promotion activities are very important marketing tools. As a result of this fact, the selection of activities is an important decision. In this paper, from the viewpoint of satisfaction degree and total expense amount, we design a reasonable evaluation function, and use genetic algorithms to search for a desirable solution in promotion activities, the conclusion shows that our method could both come to certain the objectives of company and minimize the investment amount of company.

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
10.2991/iske.2007.252How to use a DOI?
Copyright
© 2007, 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  - Xihui Li
AU  - Zheng Pei
AU  - Hua Zhao
PY  - 2007/10
DA  - 2007/10
TI  - A Linguistic Decision Model for Promotion Mix Management Based on Genetic Algorithms
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1478
EP  - 1482
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.252
DO  - 10.2991/iske.2007.252
ID  - Li2007/10
ER  -