initial implementation of marcos

Author: jbytecode

src/main/scala/marcos.scala

@@ -0,0 +1,12 @@
+package org.expr.mcdm
+
+case class MarcosResult() extends MCDMResult 
+
+def marcos(
+    decmat: Mat,
+    weights: Vec,
+    directions: Array[Direction],
+    normalization: NormalizationFunction =
+      Normalization.MarcosNormalization,
+    options: Map[String, Any] = Map.empty 
+): MarcosResult = ???

src/test/scala/testmarcos.scala

@@ -0,0 +1,28 @@
+import munit.Assertions as A
+
+import org.expr.mcdm.marcos
+import org.expr.mcdm.Direction.{Maximize, Minimize}
+import org.expr.mcdm.Matrix
+
+class TestMarcos extends munit.FunSuite {
+  test("Marcos Example - 1") {
+    val decmat = Array(
+        Array(8.675, 8.433, 8.000, 7.800, 8.025, 8.043),
+        Array(8.825, 8.600, 7.420, 7.463, 7.825, 8.229),
+        Array(8.325, 7.600, 8.040, 7.700, 7.925, 7.600),
+        Array(8.525, 8.667, 7.180, 7.375, 7.750, 8.071))
+
+    val weights = Array(0.19019, 0.15915, 0.19819, 0.19019, 0.15115, 0.11111)
+
+    val fns = Array(Maximize, Maximize, Maximize, Maximize, Maximize, Maximize)
+
+    val expected_scores = Array(0.684865943528, 0.672767106696, 0.662596906139, 0.661103207660)
+
+    //val result = marcos(decmat, weights, fns)
+
+    println("*****************************")
+    println("Marcos not implemented yet!")
+    println("*****************************")
+    //A.assert(Matrix.elementwise_equal(result, expected_scores, 1e-6), "Marcos scores do not match expected values")
+  }
+}