The distribution of evaluation results was analysed and inter-rater reliability was evaluated for the two modified methods employed using intraclass correlation coefficients (ICC) and Fleiss' κ.
The main limitation was the distribution of evaluation results.
The distribution of evaluation results is shown in figure 3A, B. These case reports were based on voluntary consumer reports, included incomplete reporting and were not standardised for the evaluation of causal relationships.
First, the single-factor membership degree is determined using the dynamic clustering method, then a single-factor evaluation matrix is constructed using a continuous grading function, and finally, the probability distribution of the evaluation grade in a fuzzy evaluation matrix is analyzed.
Conversely, if the probability distribution of the evaluation grade is concentrated, the evaluation result of fault sealing property is obvious.
Then, a single-factor evaluation matrix was constructed using the continuous grading function in order to optimize the probability distribution of the evaluation grade in the fuzzy comprehensive evaluation method.
However, the probability distribution of this evaluation grade is scattered, indicating the fuzziness of the fault sealing property is large.
The probability distribution of the evaluation grade is dispersed, showing the ambiguity of footwalls and hanging walls on its oil-bearing properties.
After improvement, the probability distribution of the evaluation grades is scattered, indicating oil and gas may be trapped locally after having continuously migrated from the footwall to the hanging wall in the local open interval (Fig. 2).
On the downside, these approaches generally require a great deal of data, very good knowledge of the species distribution, and make the sampling design critical as it must be representative of the postdispersal distribution of individuals (evaluation of long-distance dispersal might be especially difficult due to constraints in the size of the study area).
A straightforward test of the argument advanced in this paper would be to examine the distribution of VAS evaluations of own HRQL with respect to scores ending with 0, 5 and other integer by score-ranges in other populations, in particular where the traditional educational achievement scales are based on other scales, e.g., the A, B, C,...F grading system.
