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Today's security systems are expected to function more accurately and efficiently. Intelligent homes as a high demanded future technology need to become less expensive and more certain. These goals could be achieved by using fusion methods. In the following, two theories are applied to a home security system which are Dempster-Shafer evidential theory and Proportional Conflict Redistribution Rule no.5 (PCR5). The significant aim of this research is to show the application of fusion methods in order to establish the security system used in Intelligent Housing Systems (IHS) and detecting the precise location of the intruder at home, which are not viable through the traditional systems. The exactitude of PCR5 method to Dempster-Shafer Theory (DST) has been considered after applying them to the system. In the following, home security system is simulated by MATLAB. In sections 2 and 3, this research work will review the DST and PCR5 and their combinational rules. Section 4 deals with the security system and applying the theories to a scenario, and finally part 5 presents the conclusions obtained by simulating the attack scenarios.

Design of an Intelligent Housing System Using Sensor Data Fusion Approaches