mcdm() with default MCDM method

CHANGELOG.md

@@ -1,5 +1,6 @@
 ### 0.4.2 (Upcoming release)
 - game() now returns solution vector for both players
+- mcdm() function receives TopsisMethod() as default argument
 
 ### 0.4.1
 - Update documents for CRITIC method 

src/mcdm.jl

@@ -109,13 +109,13 @@ end
 
 
 """
-    mcdm(setting, method)
+    mcdm(setting, method = TopsisMethod())
 
     Perform selected method for a given decision matrix, weight vector, and function list.
 
 # Arguments:
  - `setting::MCDMSetting`: MCDMSetting object that holds the decision matrix, weight vector, and functions.
- - `method::MCDMMethod`: Preferred MCDMMethod.
+ - `method::MCDMMethod`: Preferred MCDMMethod. The default is TopsisMethod().
  
 # Description 
 The method is one of the subtypes of MCDMMethod type. See examples.
@@ -137,8 +137,9 @@ julia> # mcdm(setting, GreyMethod(0.6))
 ```
 
 """
-function mcdm(setting::MCDMSetting, 
-    method::T1)::MCDMResult where {T1 <: MCDMMethod}
+function mcdm(
+    setting::MCDMSetting, 
+    method::T1 = TopsisMethod())::MCDMResult where {T1 <: MCDMMethod}
 
     mcdm(
         setting.df,

test/testmcdm.jl

@@ -1,5 +1,26 @@
 @testset "MCDM functions" begin
 
+    @testset "mcdm() with default method" begin 
+        tol = 0.00001
+        df = DataFrame()
+        df[:, :x] = Float64[9, 8, 7]
+        df[:, :y] = Float64[7, 7, 8]
+        df[:, :z] = Float64[6, 9, 6]
+        df[:, :q] = Float64[7, 6, 6]
+        w = Float64[4, 2, 6, 8]
+
+        fns = makeminmax([maximum, maximum, maximum, maximum])
+
+        result = topsis(df, w, fns)
+
+        setting = MCDMSetting(df, w, fns)
+        result2 = mcdm(setting)
+
+        @test isa(result2, TopsisResult)
+        @test result2.bestIndex == result.bestIndex
+        @test result2.scores == result.scores
+    end 
+
     @testset "MOOSRA" begin 
         tol = 0.0001