Exemple #1
0
 /// <summary>
 /// 初始化模型,插入目标层
 /// </summary>
 private void InitModel()
 {
     //创建第一层
     Factor factor = new Factor("Z");
     Level toplevel = new Level(null, new List<Factor>() { factor }, null, null);
     //设置初始化的模型
     ahpModel = new AhpModel(toplevel);
 }
Exemple #2
0
        public static void AhpModelSample()
        {
            //创建第一层
            Level topLevel = new Level(null,
                new List<Factor> { new Factor("Z") },
                null,
                null);
            //实例化一个AhpModel,并设置第一层对象
            AhpModel ahpModel = new AhpModel(topLevel);

            //插入一个层次,直到用户表示不再增减
            while (true)
            {
                //默认插入第二层
                InsertLevel(ahpModel);

                //然后询问是否继续插入其他层次
                var ifAddLevel = DataHelper.ReadBool("是否插入一个层次");
                if (!ifAddLevel)
                    break;
            }

            //打印层次结构模型中的相关信息
            ahpModel.DisplayModelInfo();

            //选择用以生成决策矩阵的层次
            //读入的数要-1
            int selectLevel = DataHelper.ReadValus<int>(string.Format("请从第1层到第{0}层中选择一层来创建决策矩阵", ahpModel.Levels.Count))[0] - 1;
            //选择待评价的元素
            int elementCount = DataHelper.ReadValus<int>("请问一共有多少待评价元素?")[0];
            //建立空的决策矩阵
            DecisionMatrix decisionMatrix = new DecisionMatrix(ahpModel.Levels[selectLevel], elementCount, "决策矩阵");
            //读入决策矩阵数据
            decisionMatrix.InsertMatrix(DataHelper.ConsoleArrayInput);
            //打印决策矩阵
            decisionMatrix.DisplayMatrix(DataHelper.ConsoloOutput);
            //使用改进的标准化方法处理决策矩阵
            Console.WriteLine("使用改进的归一化法对决策矩阵进行标准化法");
            ManipulateDecisionMatrix(decisionMatrix, Standardizer.ApprovedNormalize);
            //使用常规归一化法处理决策矩阵
            Console.WriteLine("使用常规的归一化法对决策矩阵进行标准化");
            ManipulateDecisionMatrix(decisionMatrix, Standardizer.Normalize);
        }
 //构造函数,传入需要处理的层级结构模型
 public LevelAddForm(AhpModel model)
     : this()
 {
     ahpModel = model;
 }
Exemple #4
0
        /// <summary>
        /// 初始化决策模型
        /// </summary>
        private void InitModel()
        {
            //创建第一层
            Factor factor = new Factor("Z");
            Level toplevel = new Level(null, new List<Factor>() { factor }, null, null);
            //设置初始化的模型
            _ahpModel = new AhpModel(toplevel);

            //构造第二层
            //第二层因素
            IList<Factor> factors2 = new List<Factor>
                {
                    new Factor("A1"),
                    new Factor("A2"),
                    new Factor("A3"),
                    new Factor("A4"),
                };
            //第二层关系矩阵
            Matrix level2Relation = new Matrix(4, 1);
            level2Relation.InsertDataFromList(new List<double> { 1, 1, 1, 1 });
            //第二层判断矩阵,初始化为空
            JudgeMatrix level2JudugeMatrix1 = new JudgeMatrix(4);
            //加入到判断矩阵序列
            Dictionary<Factor, JudgeMatrix> level2Judges = new Dictionary<Factor, JudgeMatrix>();
            level2Judges.Add(toplevel.Factors[0], level2JudugeMatrix1);
            Level level2 = new Level(toplevel, factors2, level2Relation, level2Judges);
            //加入到模型中
            _ahpModel.PushLevel(level2);

            //构造第三层次
            IList<Factor> factors3 = new List<Factor>
                {
                    new Factor("B1"){Direction = FactorDirection.Negative},
                    new Factor("B2"),
                    new Factor("B3"),
                    new Factor("B4"),
                    new Factor("B5"),
                    new Factor("B6"),
                    new Factor("B7"),
                    new Factor("B8"){Direction = FactorDirection.Negative},
                    new Factor("B9"),
                    new Factor("B10"),
                    new Factor("B11"),
                    new Factor("B12"),
                    new Factor("B13"),
                    new Factor("B14"),
                };
            //第三层关系矩阵
            Matrix level3Relation = new Matrix(14, 4);
            level3Relation.InsertDataFromList(new List<double>
                {
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1,
                    0,
                    0,
                    0,
                    1
                });
            //第三层判断矩阵
            JudgeMatrix level3JudugeMatrix1 = new JudgeMatrix(3);
            JudgeMatrix level3JudugeMatrix2 = new JudgeMatrix(4);
            JudgeMatrix level3JudugeMatrix3 = new JudgeMatrix(3);
            JudgeMatrix level3JudugeMatrix4 = new JudgeMatrix(4);
            //加入到判断矩阵序列
            Dictionary<Factor, JudgeMatrix> level3Judges = new Dictionary<Factor, JudgeMatrix>();
            level3Judges.Add(level2.Factors[0], level3JudugeMatrix1);
            level3Judges.Add(level2.Factors[1], level3JudugeMatrix2);
            level3Judges.Add(level2.Factors[2], level3JudugeMatrix3);
            level3Judges.Add(level2.Factors[3], level3JudugeMatrix4);
            Level level3 = new Level(level2, factors3, level3Relation, level3Judges);
            //加入到模型中
            _ahpModel.PushLevel(level3);
        }
Exemple #5
0
        public static void AhpModelTest()
        {
            //构造第一层
            IList<Factor> factors1 = new List<Factor>() { new Factor("Z") };
            Level level1 = new Level(null, factors1, null, null);
            AhpModel ahpModel = new AhpModel(level1);

            //构造第二层
            //第二层因素
            IList<Factor> factors2 = new List<Factor>
                {
                    new Factor("A1"),
                    new Factor("A2"),
                    new Factor("A3"),
                    new Factor("A4"),
                    new Factor("A")
                };
            //第二层关系矩阵
            Matrix level2Relation = new Matrix(5, 1);
            level2Relation.InsertDataFromList(new List<double> { 1, 1, 1, 1, 1 });
            //第二层判断矩阵
            JudgeMatrix level2JudugeMatrix1 = new JudgeMatrix(5);
            level2JudugeMatrix1.InsertDataFromList(new List<double>
                {
                    1,
                    1/2.0,
                    4,
                    3,
                    3,
                    2,
                    1,
                    7,
                    5,
                    5,
                    1/4,
                    1/7,
                    1,
                    1/2.0,
                    1/3.0,
                    1/3.0,
                    1/5.0,
                    2,
                    1,
                    1,
                    1/3.0,
                    1/5.0,
                    3,
                    1,
                    1
                });
            //加入到判断矩阵序列
            Dictionary<Factor, JudgeMatrix> level2Judges = new Dictionary<Factor, JudgeMatrix>();
            level2Judges.Add(level1.Factors[0], level2JudugeMatrix1);
            Level level2 = new Level(level1, factors2, level2Relation, level2Judges);
            //加入到模型中
            ahpModel.PushLevel(level2);

            //构造第三层次
            IList<Factor> factors3 = new List<Factor>
                {
                    new Factor("B1"),
                    new Factor("B2"),
                    new Factor("B3"),
                };
            //第三层关系矩阵
            Matrix level3Relation = new Matrix(3, 5);
            level3Relation.InsertDataFromList(new List<double>
                {
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1,
                    1
                });
            //第三层判断矩阵
            JudgeMatrix level3JudugeMatrix1 = new JudgeMatrix(3);
            level3JudugeMatrix1.InsertDataFromList(new List<double>
                {
                    1,
                    2,
                    5,
                    1/2.0,
                    1,
                    2,
                    1/5.0,
                    1/2.0,
                    1
                });
            JudgeMatrix level3JudugeMatrix2 = new JudgeMatrix(3);
            level3JudugeMatrix2.InsertDataFromList(new List<double>
                {
                    1,
                    1/3.0,
                    1/8.0,
                    3,
                    1,
                    1/3.0,
                    8,
                    3,
                    1
                });
            JudgeMatrix level3JudugeMatrix3 = new JudgeMatrix(3);
            level3JudugeMatrix3.InsertDataFromList(new List<double>
                {
                    1,
                    1,
                    3,
                    1,
                    1,
                    3,
                    1/3.0,
                    1/3.0,
                    1
                });
            JudgeMatrix level3JudugeMatrix4 = new JudgeMatrix(3);
            level3JudugeMatrix4.InsertDataFromList(new List<double>
                {
                    1,
                    3,
                    4,
                    1/3.0,
                    1,
                    1,
                    1/4.0,
                    1,
                    1
                });
            JudgeMatrix level3JudugeMatrix5 = new JudgeMatrix(3);
            level3JudugeMatrix5.InsertDataFromList(new List<double>
                {
                    1,
                    1,
                    1/4.0,
                    1,
                    1,
                    1/4.0,
                    4,
                    4,
                    1
                });
            //加入到判断矩阵序列
            Dictionary<Factor, JudgeMatrix> level3Judges = new Dictionary<Factor, JudgeMatrix>();
            level3Judges.Add(level2.Factors[0], level3JudugeMatrix1);
            level3Judges.Add(level2.Factors[1], level3JudugeMatrix2);
            level3Judges.Add(level2.Factors[2], level3JudugeMatrix3);
            level3Judges.Add(level2.Factors[3], level3JudugeMatrix4);
            level3Judges.Add(level2.Factors[4], level3JudugeMatrix5);
            Level level3 = new Level(level2, factors3, level3Relation, level3Judges);
            //加入到模型中
            ahpModel.PushLevel(level3);

            //测试数据
            ahpModel.GetLevelInfo(3).GetTotalWeightVect().DisplayMatrix(DataHelper.ConsoloOutput);
        }
Exemple #6
0
        //为传入的AhpModel加入一个层次
        private static Level InsertLevel(AhpModel model)
        {
            //创建一个Level所必须的数据
            LevelDataModel dataModel = new LevelDataModel();

            //循环输入因素
            while (true)
            {
                foreach (var factor in GetFactors())
                {
                    dataModel.Factors.Add(factor);
                }

                var ifAddFactor = DataHelper.ReadBool("是否继续添加因素");
                if (!ifAddFactor)
                    break;
            }
            //读入并设置指标的方向
            while (true)
            {
                //首先读入一定数量的数据
                var tags = DataHelper.ReadValus<string>("请输入指标各个指标的方向,+ 代表正向,- 代表逆向", dataModel.Factors.Count);
                //表示是否获得真确的
                bool readSuccess = true;

                //依次设置Factor的正向还是逆向
                for (int i = 0; i < tags.Count; i++)
                {
                    //如果是正向,就继续,因为默认是正向
                    if (tags[i] == "+")
                        continue;
                    //如果是逆向,就设置
                    if (tags[i] == "-")
                    {
                        dataModel.Factors[i].Direction = FactorDirection.Negative;
                    }
                    //如果到这一步,说明有 +/- 以外的字符,则表示读入的数据错误,报错,并跳出循环,再重新读
                    else
                    {
                        readSuccess = false;
                        break;
                    }
                }
                if (readSuccess)
                    break;

                Console.WriteLine("输入的数据中包含无法识别的字符,请重新输入");
            }

            //输入关系矩阵
            //设置当前model中的最后一个层次为新插入层次的Parent
            dataModel.Parent = model.GetLastLevel();
            Matrix relationMatrix = new Matrix(dataModel.Factors.Count, dataModel.Parent.Factors.Count);
            Console.WriteLine("请输入关系矩阵");
            relationMatrix.InsertMatrix(DataHelper.ConsoleArrayInput);
            //relationMatrix.InsertMatrix(DataHelper.ConsoloInput);
            dataModel.RelationMatrix = relationMatrix;

            //设置判断矩阵
            Dictionary<Factor, JudgeMatrix> judgeMatrices = new Dictionary<Factor, JudgeMatrix>();
            //此处可以选择使用那种方式输入判断矩阵
            var judges = GetJudgeMatrices(relationMatrix, dataModel.Parent.Factors, dataModel.Factors);
            //var judges = GetJudgeMatrices(relationMatrix);
            for (int i = 0; i < relationMatrix.Y; i++)
            {
                judgeMatrices.Add(model.GetLastLevel().Factors[i], judges[i]);
            }
            dataModel.JudgeMatrices = judgeMatrices;

            //创建一个新的层次,并加入层次结构模型中
            Level newLevel = new Level(dataModel);
            model.PushLevel(newLevel);

            return model.GetLastLevel();
        }