文献类型：期刊文献

英文题名：Research of information fusion evaluation methodology based on dominance relation

作者：Liu, Yunxiang[1,2]; Wu, Weichang[1]; Lin, Jie[2]

机构：[1] Department of Computer Science, Shanghai Institute of Technology, 200235; [2] East China University of Science and Technology, ShangHai 200237

年份：2007

卷号：1

起止页码：788

外文期刊名：Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing

收录：EI(收录号：20074110862484)

语种：英文

外文关键词：Data acquisition - Decision theory - Function evaluation - Fuzzy sets - Rough set theory

摘要：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 C3I applications as background, the evaluation process is similar to the decision process, A function gj (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,μja(x)} where μja(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. ? 2007 IEEE.