Multi-index Quantification and Its Statistical Model Constraint to Improve the Quality of Project Evaluation
Geological Bureau of Jiangsu Province, Nanjing 210007, China
| Abstract: | With the transformation of geological prospecting units in China to multiple business areas, the types and contradictions of identification and evaluation of technological achievements have also increased substantially. Taking 288 project achievements completed by a Bureau in the six years from 2016 to 2021 as an example, this paper quantitatively extracts and sets up a variety of award scoring parameters, and divides the outstanding project achievement awards into: Geological exploration, engineering construction, mining development, ecological civilization construction, surveying and mapping geographic information, scientific research and prediction, and technical advisory services. The selection scope covers all industrial categories in the transition period of geological prospecting units. The evaluation results reflect the role of opening up the grade and encouraging the advanced. The revision and formulation of the management method has improved a lot in terms of fairness, impartial and rationality, but the leading role in scientific and technological innovation is still insufficient and needs to be further improved. By statistical analysis, the distribution model of the quantitative score of the award is established, and it is considered that the better award results should conform to the normal distribution or T distribution with initial right deviation. With the evaluation system from the emphasis on output value to the emphasis on innovation-oriented, the mathematical statistics distribution law of the evaluation result score should show the change of à distribution characteristic form under the condition of á = 4. |
| Keywords: | Quantitative Assessment; Geostatistics; Variogram; Geological-significance Appraisal and Reward of Geological Exploration Projects |
| DOI: | 10.57237/j.res.2023.01.004 |
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Received: 7 August 2022
Accepted: 15 February 2023
Published Online: 16 February 2023
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