Yunxiang Liu, Shanghai Institute of Technology, China; East China University of Science and Technology, China
Jie Lin, East China University of Science and Technology, China
The theories and methods of performance evaluation for multi-sensor data fusion system based on rough set theory and A Fuzzy Interval are discussed. A information fusion performance criteria system is founded with C^{3}I applications as background, the evaluation process is similar to the decision process, A function g_{j}(a) represents an evaluation of object a for attribute j and is called a criteria. Each criterion induces a particular ordering of the object, and it is very significant to find a procedure by which to construct one overall preference ordering. Proposing the idea of translating imprecision or ambiguity in measurement of an alternative for a given point of view with the use of a fuzzy set in R which is a set of ordered pairs {x, \mu _j^a (x)} where \mu_j^a (x) is termed the grade of membership of x" for alternative a related to j. This offered theoretical foundation for aggregation based on all evaluations from attributes.
Citation:
Yunxiang Liu, Weichang Wu, Jie Lin, "Research of Information Fusion Evaluation Methodology Based on Dominance Relation," snpd, vol. 1, pp.788-793, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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