A framework to estimate the state of dynamically

\r\nvarying environment where data are generated from heterogeneous

\r\nsources possessing partial knowledge about the environment is presented.

\r\nThis is entirely derived within Dempster-Shafer and Evidence

\r\nFiltering frameworks. The belief about the current state is expressed

\r\nas belief and plausibility functions. An addition to Single Input

\r\nSingle Output Evidence Filter, Multiple Input Single Output Evidence

\r\nFiltering approach is introduced. Variety of applications such as

\r\nsituational estimation of an emergency environment can be developed

\r\nwithin the framework successfully. Fire propagation scenario is used

\r\nto justify the proposed framework, simulation results are presented.<\/p>\r\n","references":"

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