private double[] Find(string str)
{
FuzzyTOPSIS FT = new FuzzyTOPSIS();
Dictionary <string, double[]> dic = new Dictionary <string, double[]>();
dic.Add("Very Low", FT.VL.ToArray <double>());
dic.Add("Low", FT.L.ToArray <double>());
dic.Add("Medium Low", FT.ML.ToArray <double>());
dic.Add("Medium", FT.M.ToArray <double>());
dic.Add("Medium High", FT.MH.ToArray <double>());
dic.Add("High", FT.H.ToArray <double>());
dic.Add("Very High", FT.VH.ToArray <double>());
dic.Add("Very Poor", FT.VP.ToArray <double>());
dic.Add("Poor", FT.P.ToArray <double>());
dic.Add("Medium Poor", FT.MP.ToArray <double>());
dic.Add("Fair", FT.F.ToArray <double>());
dic.Add("Medium Good", FT.MG.ToArray <double>());
dic.Add("Good", FT.G.ToArray <double>());
dic.Add("Very Good", FT.VG.ToArray <double>());
Element el = new Element();
dic.TryGetValue(str, out el.e);
return(el.e);
}
public JsonResult Decision(Models.FuzzyTopsis ft)
{
//Models.FuzzyTopsis ft = new Models.FuzzyTopsis()
//{
// dgData = dgData,
// dgWeight = dgWeight,
// numCriteria = numCriteria,
// numberOfAlternative = numberOfAlternative,
// method = method
//};
FuzzyTOPSIS FT = new FuzzyTOPSIS();
List <Element[]> wd = new List <Element[]>();
List <Element[][]> fdm = new List <Element[][]>();
#region Init
Element[] weight = new Element[ft.numCriteria];
for (int i = 0; i < ft.numCriteria; i++)
{
weight[i] = new Element();
}
Element[][] l = new Element[ft.numberOfAlternative + 1][];
for (int i = 0; i < l.Length; i++)
{
l[i] = new Element[ft.numCriteria];
for (int j = 0; j < ft.numCriteria; j++)
{
l[i][j] = new Element();
}
}
#endregion
List <Element> list = new List <Element>();
Element el = new Element();
for (int i = 0; i < ft.numberOfAlternative; i++)
{
for (int j = 0; j < ft.numCriteria; j++)
{
l[i][j].e = Find(ft.dgData[i][j]);
}
}
for (int i = 0; i < ft.numCriteria; i++)
{
weight[i].e = Find(ft.dgWeight[i][0]);
}
wd.Add(weight);
fdm.Add(l);
int[] criteria = new int[ft.numCriteria];
for (int i = 0; i < criteria.Length; i++)
{
criteria[i] = 1;
}
double[] result = FT.Do(wd, fdm, 1, ft.numCriteria, ft.numberOfAlternative, 1, criteria);
double[] temp = new double[result.Length];
for (int i = 0; i < result.Length; i++)
{
temp[i] = result[i] / result.Sum();
}
int[] alters = new int[ft.numberOfAlternative];
for (int i = 0; i < result.Length; i++)
{
alters[i] = i;
}
Models.Result r = new Models.Result();
r.data = temp;
//var key = new System.Web.Helpers.Chart(width: 300, height: 300)
//.AddTitle("نتیجه تصمیم گیری")
//.AddSeries(
// chartType: "Bubble",
// name: "گزینه ها",
// xValue:alters ,
// //xValue: new[] { "Peter", "Andrew", "Julie", "Dave" },
// yValues:result
// //yValues: new[] { "2", "7", "5", "3" }
// );
//return File(key.ToWebImage().GetBytes(), "image/jpeg");
//return (View
// (viewName: "Result",
// model: r));
return(Json(r.data, JsonRequestBehavior.AllowGet));
//string[][] dgData=null;
//string[][] dgWeight = null;
//#region Init
//Element[] weight = new Element[numCriteria];
//for (int i = 0; i < numCriteria; i++)
// weight[i] = new Element();
//Element[][] l = new Element[numberOfAlternative][];
//for (int i = 0; i < l.Length; i++)
//{
// l[i] = new Element[numCriteria];
// for (int j = 0; j < numCriteria; j++)
// l[i][j] = new Element();
//}
//#endregion
//List<Element> list = new List<Element>();
//Element el = new Element();
//for (int i = 0; i < numberOfAlternative - 1; i++)
//{
// for (int j = 0; j < numCriteria; j++)
// {
// l[i][j].e = Find(dgData[i][j]);
// }
//}
//for (int i = 0; i < numCriteria; i++)
//{
// weight[i].e = Find(dgWeight[0][i]);
//}
//wd.Add(weight);
//fdm.Add(l);
//int[] criteria = new int[numCriteria];
//for (int i = 0; i < criteria.Length; i++)
//{
// criteria[i] = 1;
//}
//double[] result = FT.Do(wd, fdm, 1, numCriteria, numberOfAlternative-1, 1, criteria);
//for (int i = 0; i < result.Length; i++)
//{
// result[i] = result[i] / result.Sum();
//}
//int[] alters=new int[numberOfAlternative];
//for (int i=0;i<result.Length;i++){
// alters[i]=i;
//}
}
