Terrorism Event Classification Using Fuzzy Inference Systems

Details Terrorism Event Classification Using Fuzzy Inference Systems Terrorism Event Classification Using Fuzzy Inference Systems

2010-04-11

arxiv.org/abs/1004.1772v1

IJCSIS, Vol. 7 No. 3, March 2010, 247-256

Computer Science

Artificial Intelligence

IEEE Publication format, ISSN 1947 5500, http://sites.google.com/site/ijcsis/

Scientific paper

Terrorism has led to many problems in Thai societies, not only property damage but also civilian casualties. Predicting terrorism activities in advance can help prepare and manage risk from sabotage by these activities. This paper proposes a framework focusing on event classification in terrorism domain using fuzzy inference systems (FISs). Each FIS is a decision-making model combining fuzzy logic and approximate reasoning. It is generated in five main parts: the input interface, the fuzzification interface, knowledge base unit, decision making unit and output defuzzification interface. Adaptive neuro-fuzzy inference system (ANFIS) is a FIS model adapted by combining the fuzzy logic and neural network. The ANFIS utilizes automatic identification of fuzzy logic rules and adjustment of membership function (MF). Moreover, neural network can directly learn from data set to construct fuzzy logic rules and MF implemented in various applications. FIS settings are evaluated based on two comparisons. The first evaluation is the comparison between unstructured and structured events using the same FIS setting. The second comparison is the model settings between FIS and ANFIS for classifying structured events. The data set consists of news articles related to terrorism events in three southern provinces of Thailand. The experimental results show that the classification performance of the FIS resulting from structured events achieves satisfactory accuracy and is better than the unstructured events. In addition, the classification of structured events using ANFIS gives higher performance than the events using only FIS in the prediction of terrorism events.

Affiliated with

Also associated with

No associations

Rating

Terrorism Event Classification Using Fuzzy Inference Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Terrorism Event Classification Using Fuzzy Inference Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Terrorism Event Classification Using Fuzzy Inference Systems will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-186501