A Win-Win Investment Strategy Based on CW-TOPSIS

DOI

10.2991/essaeme-16.2016.93How to use a DOI?

Keywords

investment strategy, composite weight, TOPSIS

Abstract

Our goal is a model to determine an optimal investment strategy. First of all, data preprocessing is significantly indispensable for a kind of data insight problem. Cluster analysis is such a kind of algorithm for preprocessing data. We classify the factors as five groups, and each group has the similar nature (Fig.2,3). We choose five most important factors for future analysis. For determining an optimal investment strategy, we start our first model by re-build the AHP. We list the optimal candidates list of 2170 schools and give the amount per school (Table.3).By evaluating the AHP, we find that the AHP depends too much on subjective weight, and ignore the objective factors. On the contrary, a method named entropy depends mostly on objective weight. So we combine AHP and entropy together and we get the Composite weights-TOPSIS, where TOPSIS is an algorithm for getting a 1-N optimized candidate list of school (Table.7).

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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TY  - CONF
AU  - Xudong Yang
PY  - 2016/08
DA  - 2016/08
TI  - A Win-Win Investment Strategy Based on CW-TOPSIS
BT  - Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering
PB  - Atlantis Press
SP  - 439
EP  - 442
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-16.2016.93
DO  - 10.2991/essaeme-16.2016.93
ID  - Yang2016/08
ER  -