A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination

Algorithm 2

Alert layer cluster based on multifeature similarity (ALC-MFS).

	Input: alert information
	Output: association result
(1)	Begin
(2)	Set (TI, TP, TT, T); //initialization, set the similarity threshold
(3)	Set (S) = 0; //initialization, set the initial similarity as 0
(4)	{Alert1, Alert2, Alert3, …}; //initialize the alert records in time t
(5)	q = 1; //set the counter
(6)	While (q ≤ n)
(7)	GetAlert (Ak); //select the qth alert
(8)	d = Calculate S (); //calculate the similarity using equation (7)–(11)
(9)	If (d > S)
(10)	S = d;
(11)	Else
(12)	q = q+1;
(13)	End if
(14)	End while
(15)	If (S < T) then
(16)	Add (new_ class) //add a new class of alert
(17)	Else
(18)	Add (new_alert) //add a new class of alert
(19)	End if
(20)	End