Military Communications and Information Technology: A Trusted ...

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298 Military Communications and Information Technology... Due to the fact that the mechanisms of proportional conflict redistribution and decomposition of conflicting hypothesis do not operate on the same level of information processing the research works have been based on comparison of the respective belief function changeability for these two methods. Particularly, PCR5 and DSmC with two-element decomposition were subject to the comparison. The result of the ‘pure’ DSmC has also been presented as the reference. In the examination, two sensor fusion scenario was under consideration. It was assumed the first sensor provides a constant bba, defined as follows: m 1 (F) = 0.275 m 1 (H) = 0.275 m 1 (U) = 0.05 m 1 (J) = 0.1 m 1 (K) = 0.1 m 1 (AF) = 0.1 m 1 (S) = 0.1 The second sensor was assumed to provide the following constant bba: m 2 (U) = 0.03 m 2 (J) = 0.1 m 2 (K) = 0.1 m 2 (AF) = 0.1 m 2 (S) = 0.1 Additionally, the mass corresponding to FRIEND hypothesis was gradually increased within with a step of 0.02 and simultaneous reduction of HOSTILE hypothesis, which may be defined as follows: m 2 (F) = 0.01 : 0.41 m 2 (H) = 0.56 : 0.16 Application of the free DSmT model (see Figure 1) with the classic rule of combination DSmC leads to the following belief function changeability Figure 3. presents changeability of belief functions for two the most dominant hypotheses: FRIEND and HOSTILE. Due to the fact that the bba obtained from the first sensor does not show any predominance of one of the mentioned hypotheses over the other, the result of the combination strongly depends on the preset masses of FRIEND and HOSTILE for the second sensor. Based on Figure 3. it is clearly seen that for the mass of m 2 (F) residing within HOSTILE hypothesis should be accepted. Exceeding the value of 0.275 causes a decision change from HOSITLE to FRIEND, which according to the definition of bba for the first sensor is intuitive. Figure 4. presents changeability of belief functions for the hybrid model with PCR5 applied. Similarly, as in case of application of the classic rule the decision change is observable for m 2 (F) @ 0.275. It is important to notice that maximal values of the respective belief functions paradoxically have lower values than for the classic rule. Given the fact that in PCR rules transfer the conflicting mass to the corresponding primary hypotheses it is intuitive to expect relatively higher values of the belief functions. However, the opposite happens as the belief function calculation performs the decisive factor. In case of PCR5 the primary hypotheses are supplied by relatively lower masses of the secondary hypotheses even though
Chapter 3: Information Technology for Interoperability and Decision... 299 in normalized bbas the primary hypotheses of FRIEND and HOSTILE take higher values than for the classic rule. Figure 3. Changeability of belief functions for DSmC Figure 4. Changeability of belief functions for PCR5 Figure 5. presents the changeability of belief functions for the hybrid model (see Figure 2) with application of the classic DSmC rule and two-element conflicting hypothesis decomposition mechanism. In the considered case the conflicting hypothesis is FH, which causes the necessity of two secondary hypotheses: FAKER and JOKER.
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Military Communications and Informa
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Contents Foreword .................
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Contents 5 Methodology for Gatherin
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8 Military Communications and Infor
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Building a Layered Enterprise Archi
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Chapter 1: Concepts and Solutions f
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Applying NAF for Performance Analys
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Openness in Military Systems Jessic
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The Concept of Integration Tool for
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CFBLNet: A Coalition Capability Ena
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Selected Aspects of Effective RCIED
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Chapter 2 Communications and Inform
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Use of Cross Domain Guards for CoNS
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Development of High Assurance Guard
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Network Traffic Characteristics for
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Methodology for Gathering Data Conc
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A Abut Fatih 161 Akcaoglu Ismail 11
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