diff --git a/fsvm/_fuzzy_svc.py b/fsvm/_fuzzy_svc.py
index f4a43b9..4a3f51b 100644
--- a/fsvm/_fuzzy_svc.py
+++ b/fsvm/_fuzzy_svc.py
@@ -49,7 +49,7 @@ class FuzzySVC(ClassifierMixin, BaseEstimator):
         median, which minimizes the sum of L1 distances.
 
     membership_decay : {'exponential', 'linear'} or callable,                  \
-        default='exponential'
+        default='linear'
         Method to compute the decay function for membership as in [1]_.
         If a callable is passed, it should take the output of `distance_metric`
         method and return the final membership degree in the interval [0, 1].
@@ -229,7 +229,7 @@ class FuzzySVC(ClassifierMixin, BaseEstimator):
            0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1,
            1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2,
-           2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2,
+           2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2,
            2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])
     """
 
@@ -253,7 +253,7 @@ def __init__(
         *,
         distance_metric="centroid",
         centroid_metric="euclidean",
-        membership_decay="exponential",
+        membership_decay="linear",
         beta=0.1,
         balanced=True,
         C=1.0,
diff --git a/fsvm/tests/test_fuzzy_svc.py b/fsvm/tests/test_fuzzy_svc.py
index 9f39503..5086307 100644
--- a/fsvm/tests/test_fuzzy_svc.py
+++ b/fsvm/tests/test_fuzzy_svc.py
@@ -30,7 +30,7 @@ def test_smoke_test(data):
 
     # Check the default values
     assert clf.distance_metric == "centroid"
-    assert clf.membership_decay == "exponential"
+    assert clf.membership_decay == "linear"
     assert clf.beta == 0.1
     assert clf.balanced is True