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/).

Download article (PDF)

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
10.2991/iske.2007.252
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  -