AHP（使用于某项目设备重要度评估测试）

用层次法和蒙特卡洛模型计算权重系数，然后建立判断矩阵进行随机一致性检验，最后求出重要度指数。

 string calculateStr = "1,2,3,2,1,|1,2,3,2,1,|1,2,3,2,1,|1,2,3,2,1,";
            var vals = calculateStr.Split('|');
            var Strlen = vals.Length - 1;
            double[,] t = new double[Strlen, Strlen];
            double RI = 0;
            for (int i = 0; i < Strlen; i++)
            {
                for (int j = 0; j < Strlen; j++)
                {
                    t[i, j] = double.Parse(vals[i].Split(',')[j]);
                }
            }

            double result = 0;
            int len = t.GetUpperBound(0) + 1;
            double[,] t1 = new double[len, len];
            double[] dNums = new double[len];
            for (int i = 0; i < len; i++)
            {
                double colResut = 0;
                for (int j = 0; j < len; j++)
                {
                    colResut += t[j, i];
                }
                for (int k = 0; k < len; k++)
                {
                    t1[k, i] = Sum(t[k, i], colResut);
                }
            }

            for (int i = 0; i < len; i++)
            {
                double vector = 0;
                double colResult = 0;

                for (int j = 0; j < len; j++)
                {
                    colResult += t[j, i];
                }

                for (int r = 0; r < len; r++)
                {
                    vector += t1[i, r];
                }
                dNums[i] = vector / len;
                result += colResult * vector / len;
            }


            if (len > 2)
            {
                switch (len)
                {
                    case 3:
                        RI = 0.58;
                        break;
                    case 4:
                        RI = 0.9;
                        break;
                    case 5:
                        RI = 1.12;
                        break;
                    case 6:
                        RI = 1.24;
                        break;
                    case 7:
                        RI = 1.32;
                        break;
                    case 8:
                        RI = 1.41;
                        break;
                    case 9:
                        RI = 1.46;
                        break;
                }
            }

            var CI = (result - len) / (len - 1);
            var CR = CI / RI;
            Console.WriteLine(CR);