A Method of Evaluating the Happy Society

DOI

10.2991/icesame-17.2017.258How to use a DOI?

Keywords

The Evaluation Model of Happiness, Structural Equation Modeling, Neural Network

Abstract

As we can see, the earth on which human beings live has been consumed excessively. It would be better if we could look for a replacement for the earth. According to the current research data show that Mars is more likely for mankind to migrate. Imagine if one day humans succeed in moving to Mars, then how to build a stable and happy Mars society In this paper, by using the control variable algorithm and structural equation, we establish a Mars social evaluation model of happiness. We use the control variable set algorithm. We set up the evaluation parameters, such as hourly wage, working hours, professional skills, the institution of social compulsory education, maternity leave, social security institution, which are considered from the perspective of three priority factors (income, education, equality). We use the structural equation as the foundation through the Amos platform, to build a sense of happiness evaluation model. Then, with the help of data on GDP output of the provinces in China in 2016, we use BP neural network to analyze the amount of fixed assets, population and try to find their impact on GDP. Meanwhile, by using the method of relative weighting, the normalization of the sense of happiness and GDP is made to measure the sustainable development of Mars society. Our model can consider and deal with multiple dependent variables simultaneously, and present a clear influence of data on the evaluation model.

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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TY  - CONF
AU  - Ziqi Wang
PY  - 2017/06
DA  - 2017/06
TI  - A Method of Evaluating the Happy Society
BT  - Proceedings of the 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017)
PB  - Atlantis Press
SP  - 1184
EP  - 1189
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-17.2017.258
DO  - 10.2991/icesame-17.2017.258
ID  - Wang2017/06
ER  -