Fuzzy mathematics comprehensive assessment is used to evaluate the recovery of hand function after adductor muscle transplantation. The grading standards are based on clinical experience and statistical results, referring to the fuzzy math comprehensive evaluation method. Clinical measurements are performed on 30 healthy people of the same age and 10 patients to determine the ratio value. A judgment standard for functional recovery grading is developed. According to Table 3, which includes 25 criteria for determining the fuzzy relationship matrix, the proportion of the total number of statistics in this aspect is calculated. The fuzzy relationship matrix established according to Table 3 is as follows:
\[ R = \begin{bmatrix}
0.01 & 0.03 & 0.06 & 0.08 & 0.02 & 0.01 & 0.01 \\
0.02 & 0.05 & 0.08 & 0.03 & 0 & 0 & 0 \\
0.01 & 0.09 & 0.10 & 0.11 & 0.06 & 0.02 & 0.03
\end{bmatrix} \]
Based on clinical experience and historical statistics, weights are assigned to the contents in order 5 in Table 3. The impact of these functions leads to the following weight assignment:
\[ A = (0.21, 0.05, 0.30, 0.30, 0.14) \]
The comprehensive evaluation results are obtained by multiplying \( A \) and \( R \):
\[ B = (0.0026, 0.00232, 0.00652, 0.00828, 0.0361) \]
After normalization:
\[ B' = (0.01, 0.11, 0.31, 0.39, 0.17) \]
According to the maximum membership principle, it is judged that the thumb's muscle function has only mild damage.
Through the observation and analysis of 31 out of 97 autopsy cases of thumbs, it was found that the adductor muscle contraction of different parts of the muscle fibers can generate two functions: First, pulling the first metacarpal bone towards the palm, thus closing the thumb; Another function is attaching the palm muscles to the front view of the second and third metacarpal bones from its starting point, making the direction of action more favorable to the palm and resisting palm movement more accurately. The starting point of the muscle lies between two metacarpals, with the palmar muscle attached to other bones. Muscle fibers attach to the third metacarpal bone and on the palm, forming a triangular shape. The far side is longer than the near side, adapting to the need for the thumb and hand to open in order to grip larger objects. The human thumb adductor muscle not only continues the function of the palm-side muscle but also strengthens the function of closing the thumb, which is an important feature of the human hand. Cutting off the adductor muscle will significantly affect the hand's ability to close. This analysis is crucial for determining the surgical approach because treated patients often have most of their thumb-closing muscles necrotized due to childhood injectable drugs, leaving only residual muscle fibers. Due to local adhesion, the thumb cannot move, and the residual muscle fibers do not develop well. If the remnants of the thumb-closing muscle fibers are retained, they can only maintain the contracture state of the adductor muscle. However, assuming that the residual adductor muscle fibers can grow passively, there might be partial adductor muscle function. Therefore, during surgery, completely cutting off the remnants of adductor muscle fibers results in quite satisfactory hand function recovery six months later, as evaluated by fuzzy mathematical comprehensive care. This only slightly affects hand function, supporting the above analysis.
Adductor muscle anatomy applied research results verify this. Clinical simple measurement of function evaluation is a commonly used method, convenient and effective, suitable for primary health care units. However, using a single function evaluation is insufficient. Using multiple indicators for evaluation is complex and less frequently used. Multiple Indicator Fuzzy Mathematics Comprehensive Assessment not only makes the evaluation results more accurate and reliable but also simplifies operations. Clinical observation of functional recovery after surgery, combined with fuzzy comprehensive evaluation and clinical measurements, shows that the study design is feasible and effectively managed.
In fuzzy comprehensive round judgment, five steps are used: (1) Determine the number of evaluations based on clinical experience; (2) Develop evaluation criteria according to historical statistics and clinical experience; (3) Determine the index's weight distribution based on clinical experience and historical statistics; (4) Calculate the probability within the standard range for patients, establishing the fuzzy relationship matrix; (5) Determine the evaluation results according to the maximum membership principle. The first step and step four are features of this article.