1. Assessment of proportional conflict redistribution rules for forest fire detection
Authors : P Sudha, A Murugan
Pages : 115-121
DOI : http://dx.doi.org/10.21172/1.94.19
Keywords : Dempster’s rule, Yager’s rule, Dezert-Smarandache theory (DSmT), Data fusion, Belief function, Proportional Conflict Redistribution (PCR) rules Abstract :In this paper, three versions of Proportional Conflict Redistribution rule (PCR) for information fusion in the context of forest fire detection is proposed. From PCR1 to PCR3, one increases the intricacy of the rules and also the literalness of the restructuring of conflicting masses. The PCR rules redistribute the conflicting mass, after the conjunctive rule has been applied, proportionally with some functions depending on the masses assigned to their corresponding columns in the mass matrix. Out of these three PCR rules, one rule can be chosen depending on the complexity one wants to deal with in the application of forest fire detection and their fusion systems. PCR3 rule outperforms in terms of efficiency than other two PCR rules. Further, it is observed that the accuracy of PCR3 ruins the same for both the cases of failure and without failure of node / link
Citing this Journal Article :P Sudha, A Murugan, "Assessment of proportional conflict redistribution rules for forest fire detection", Volume 9 Issue 4 - February 2018, 115-121
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