Equal 25% weights for all modalities

fuzzy_fusion.py

@@ -509,18 +509,18 @@ class FuzzyFusionEngine:
     Replaces simple weighted averaging with fuzzy rule-based fusion that
     can detect cross-modal agreement, conflict, and masking patterns.
 
-    Modality weights (initial blend before fuzzy rules override):
-      face: 0.30, voice: 0.25, text: 0.25, posture: 0.20
+    Modality weights (equal contribution when all active):
+      face: 0.25, voice: 0.25, text: 0.25, posture: 0.25
 
     The fuzzy rules are the primary decision mechanism — these weights
     only provide the initial crisp baseline that rules then modify.
     """
 
     BASE_WEIGHTS = {
-        "face": 0.30,
+        "face": 0.25,
         "voice": 0.25,
         "text": 0.25,
-        "posture": 0.20,
+        "posture": 0.25,
     }
 
     def __init__(self):