Mathematical Modeling Practice——Maoming City Science and Technology Innovation and Science and Technology Finance Evaluation Model
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foreword
After we have learned knowledge, we must learn to apply it. We began to study a case in depth. At the end of the article, the paper written by the author is attached. You can use it as a reference, but do not plagiarize.
1. Topic analysis
1. Original topic
Topic 2:
Constructing a mathematical model for the evaluation of scientific and technological innovation and technological finance in Maoming City
Question 1: You can use the method of Granger causality test, the data envelopment method, or the comprehensive evaluation method in Chapter 14 of the modeling textbook Make an evaluation.
Question 2: Based on the model established by myself, make relevant suggestions on how to develop Maoming's technological innovation and technological finance in the future.
2. Topic analysis
Regarding the evaluation model of scientific and technological innovation and technological finance in Maoming City, the most intuitive focus on this issue is two, the scientific and technological innovation and technological finance of Maoming City, and the evaluation model.
Let's look at the key word first: evaluation model. We have learned a lot about the evaluation model, including a series of comprehensive evaluation models such as topsis, principal component analysis, entropy value method, etc. Of course, there are also advanced comprehensive models that are "innovated" on the original basis, such as based on A series of advanced models such as the topsis comprehensive evaluation model of the weight method, the topsis based on the analytic hierarchy process, and the correction model based on the maximum variance to the principal component analysis method.
Next, let’s go back to the first key point – technological innovation and technological finance in Maoming City. The general idea is: we need to determine the indicators of technological innovation and technology finance in Maoming City, and then use the indicators to find sample data.
Here you can think about what we use as an indicator and what we use as a sample. 
Everyone here, here we can divide into two directions, one is to use the year as an indicator, and Maoming City’s technological innovation and technological finance as a sample to analyze which technological element has a higher comprehensive score. Mathematical model of innovation and technological finance; another direction is to use scientific and technological elements as indicators and years as samples to analyze the comprehensive score of scientific and technological elements of the year. In this way, Maoming City’s technological innovation and technological finance can also be obtained. Here we will not distinguish between these two directions. If you are interested, you can private chat with me about my last QQ understanding.
2. Topic combat
After determining the method and data, you only need to write step by step
1. Data processing
The first is to look for data, analyze the original data given in the title, and find that a relatively important part is missing, that is, the elements of technology and finance (economic growth) are not provided. After checking other papers, we find that there are economic growth elements, so we need add to it
Data sources can be Guangdong Statistical Yearbook, Maoming City Statistical Yearbook
2. Select a comprehensive evaluation model
For the comprehensive evaluation model, the determination of the weight of the index is the most important thing. After determining the weight of the index and multiplying it by the corresponding index, the comprehensive evaluation score can be obtained.
There are many methods of weighting, including subjective analytic hierarchy process, sequential relationship analysis method, objective entropy weight method, etc. If you are writing simply, you can choose one of them as a method of determining weight. Of course, if you want to write more radically The optimal weights can be determined by moment estimation. Specific analysis of specific topics, some topics are not suitable for subjective analysis method, some topics are suitable, the general judgment standard is CNKI papers and our own experience judgment, the topics selected in this paper can be either subjective weighting or objective weighting, Each has its own explanatory significance.
The model we choose here is:
integrate the scores obtained by the subjective weighting method (AHP, ordinal relationship analysis GI) and the objective weighting method (entropy weight method, projection pursuit method) to obtain the optimal evaluation score .
3. Solving the model
After importing the data into the corresponding code, you can get the index weight corresponding to each evaluation method, as shown in the following table (the code is attached at the end of the article). The weight
cross multiplies the original data to get the comprehensive evaluation score. Using the fuzzy Borda method for comprehensive evaluation can Get the best comprehensive evaluation score (see table below).
As long as you explain the data, you can end the first question (Note: Don’t make too many meaningless explanations here, you just need to explain the above table, such as why there is a decline in 2019, This should actually be the explanation for the second question)
4. Modeling and solution of problem 2
Adding science and technology innovation and science and technology finance in Guangdong Province from the original data, focusing on the overall characteristics of the time and space distribution of science and technology innovation and science and technology finance in Maoming City, spreading trends, and horizontal comparisons with Guangdong Province, and based on the research results, the scientific and technological innovation and technology in Maoming City Financial development gives forecasts and suggestions.
Note: It is recommended to learn from the suggestions and policies of various places on the "13th Five-Year Plan" - the science and technology part.
In this way, we can conclude the whole paper. Combining the above parts, the paper as a whole is relatively simple. We can also use the method of Granger causality test, or use the data envelopment method for mathematical modeling. , but the part that can be written is not as much as that of the comprehensive evaluation model.
Summarize
Model reference
cannot be copied, but it can be used for reference. We can modify the model of the first question above. For example, I choose a variety of evaluation methods to combine a comprehensive evaluation model. You can choose one of the four to expand your own writing, such as comprehensive evaluation based on the projection pursuit method. Model. (Projection pursuit is optimized by using simulated annealing, so the writeability is quite high, and the paper is better)
The code and its paper reference
The following is the editor’s QQ. If you have any questions or can be improved, you can contact me.
2892053776
I put the code and papers on the network disk for self-collection. Remember to modify the reference codes and papers!
Link: https://pan.baidu.com/s/11U_qUfqHKGe0iHU7j5-YLA
Extraction code: cpdd