static void AhpBuilder()
{
var builder = new AhpBuilder();
var creteria2dArr = builder.BuildCriteriasMultidimentionalArray();
List <double[, ]> choicesList = builder.BuildAndGetAllChoicesList();
var ahpmodel = new AhpModel();
ahpmodel
.CriteriaMatrixStatisticsJob(creteria2dArr);
ahpmodel.AddChoiceList(choicesList);
var Gvect = ahpmodel.GetGlobalVector();
Console.WriteLine(Gvect);
var alternatives = builder.AlternativesList;
ahpmodel.PrintAlternativesNumbers(alternatives);
}
static void InitFromCodeAnalyze()
{
var twoxtwomatrix = new double[, ] {
{ 1, 3 },
{ 1f / 4f, 1 }
};
var threexthreematrix = new double[, ] {
{ 1, (double)1 / 3, (double)1 / 2 },
{ 3, 1, 3 },
{ 2, (double)1 / 3, 1 }
};
var fourxfourmatrix = new double[, ] {
{ 1.0, 1.0 / 3.0, 2.0, 4.0 },
{ 3.0, 1.0, 5.0, 3.0 },
{ 1.0 / 2.0, 1.0 / 5.0, 1.0, 1.0 / 3.0 },
{ 1.0 / 4.0, 1.0 / 3.0, 3.0, 1.0 }
};
//1 compare creterais make matrix
//2 compare choices make matrix
//A - speed
//B - color
//C - Volume
//D - Fuel consumption
//if a to b = 2 than b to a = 1/2
//if b to c = 3 than c to b = 1/3
// /*A*/ /*B*/ /*C*/ /*D*/
// var creteria2dArr = new double[,] {
///*A*/ { 1.0, 2.0, 5.0, 7.0 },
///*B*/ { 0.50, 1.0, 3.0, 5.0 },
///*C*/ { 0.20, 0.33, 1.0, 2.0 },
///*D*/ { 0.14, 0.2, 0.5, 1.0 }};
/*S*/ /*C*/ /*V*/ /*F*/
var creteria2dArr = new double[, ] {
/*S*/ { 1.0, 2, 2.0, 1.0 / 5.0 },
/*C*/ { 0.50, 1.0, 3.0, 1.0 / 5.0 },
/*V*/ { 0.50, 1.0 / 3.0, 1.0, 1.0 / 3.0 },
/*F*/ { 5.0, 5.0, 3.0, 1.0 }
};
//alternatives choices
//SEDAN
//COUPE
//SPORTS
//Crossover
//compare on each criteria each alternative choice (4 measurement)
//speed
double[,] compareCarsBySpeed = new double[, ]
{ /*SEDAN*/ /*COUPE*/ /*SPORTS*/ /*Crossover*/
/*SEDAN*/ { 1, 0.5, 0.5, 1.0 / 3.0 },
/*COUPE*/ { 2, 1, 1.0 / 3.0, 0.5 },
/*SPORTS*/ { 2, 3, 1, 0.2 },
/*crossover*/ { 3, 2, 5, 1 },
};
//color
double[,] compareCarsByColor = new double[, ]
{ /*SEDAN*/ /*COUPE*/ /*SPORTS*/ /*Crossover*/
/*SEDAN*/ { 1, 1.0 / 7.0, 1.0 / 3.0, 0.5 },
/*COUPE*/ { 7, 1, 1.0 / 4.0, 1.0 / 3.0 },
/*SPORTS*/ { 3, 4, 1, 1.0 / 2.0 },
/*crossover*/ { 2, 3, 2, 1 },
};
double[,] compareCarsByVolume = new double[, ]
{ /*SEDAN*/ /*COUPE*/ /*SPORTS*/ /*Crossover*/
/*SEDAN*/ { 1, 3.0, 2, 1.0 / 2.0 },
/*COUPE*/ { 1.0 / 3.0, 1, 3.0, 2 },
/*SPORTS*/ { 1.0 / 2.0, 1.0 / 3.0, 1, 1.0 / 4.0 },
/*crossover*/ { 2, 0.5, 4, 1 }
};
double[,] compareCarsByConsumption = new double[, ]
{ /*SEDAN*/ /*COUPE*/ /*SPORTS*/ /*Crossover*/
/*SEDAN*/ { 1, 4, 4, 1.0 / 2.0 },
/*COUPE*/ { 1.0 / 4.0, 1, 3, 2 },
/*SPORTS*/ { 1.0 / 4.0, 1.0 / 3.0, 1, 1.0 / 3.0 },
/*crossover*/ { 2, 0.5, 3, 1 }
};
//double[,] compareCarsByConsumption = new double[,]
// {
// { 1, 9, 9},
// { 1.0/9.0, 1, 2},
// { 1.0/9.0, 0.2, 1}
// };
List <double[, ]> choicesList = new List <double[, ]>()
{
compareCarsBySpeed,
compareCarsByColor,
compareCarsByVolume,
compareCarsByConsumption
};
var alternatives = new List <string>()
{
"SEDAN",
"COUPE",
"SPORTS",
"CROSSOOVER"
};
var ahpmodel = new AhpModel();
ahpmodel
.CriteriaMatrixStatisticsJob(creteria2dArr);
ahpmodel.AddChoiceList(choicesList);
var Gvect = ahpmodel.GetGlobalVector();
Console.WriteLine(Gvect);
ahpmodel.PrintAlternativesNumbers(alternatives);
}
