2008Acta Automatica SinicaRequires access

Optimization Assignment of Multi-sensor System Based on the Model of Multiple-attribute Assignment with Interval Number Information

Zhang Su

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Abstract

The optimization assignment of multi-sensors under uncertain complicated conditions is a key problem of multi-sensor management system.The uncertainty in the problem is expressed by the interval number information. Based on this thought,a new method for the multiple-attribute assignment problem with interval number information is put forward in this paper.Firstly,the extension model of multiple-attribute assignment problem with interval number information is defined.Secondly,the efficiency matrixes with interval number information are aggregated by uncertain ordered weighted average(UOWA)operator.The synthetic efficiency matrix is obtained by the method of technique for order preference by similarity to ideal solution(TOPSIS).Then,the extension assignment problem can be changed into a standard assignment problem.Finally,it is solved by the Hungary algorithm.The validity of this method to solve multi-sensor optimization assignment is demonstrated by an example.

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The optimization assignment of multi-sensors under uncertain complicated conditions is a key problem of multi-sensor management system.The uncertainty in the problem is expressed by the interval number information. Based on this thought,a new method for the multiple-attribute assignment problem with interval number information is put forward in this paper.Firstly,the extension model of multiple-attribute assignment problem with interval number information is defined.Secondly,the efficiency matrixes with interval number information are aggregated by uncertain ordered weighted average(UOWA)operator.The synthetic efficiency matrix is obtained by the method of technique for order preference by similarity to ideal solution(TOPSIS).Then,the extension assignment problem can be changed into a standard assignment problem.Finally,it is solved by the Hungary algorithm.The validity of this method to solve multi-sensor optimization assignment is demonstrated by an example.

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Available abstract

The optimization assignment of multi-sensors under uncertain complicated conditions is a key problem of multi-sensor management system.The uncertainty in the problem is expressed by the interval number information. Based on this thought,a new method for the multiple-attribute assignment problem with interval number information is put forward in this paper.Firstly,the extension model of multiple-attribute assignment problem with interval number information is defined.Secondly,the efficiency matrixes with interval number information are aggregated by uncertain ordered weighted average(UOWA)operator.The synthetic efficiency matrix is obtained by the method of technique for order preference by similarity to ideal solution(TOPSIS).Then,the extension assignment problem can be changed into a standard assignment problem.Finally,it is solved by the Hungary algorithm.The validity of this method to solve multi-sensor optimization assignment is demonstrated by an example.

Key concepts: Assignment problem, Interval (graph theory), TOPSIS, Extension (predicate logic), Ideal solution, Mathematical optimization, Mathematics, Hungarian algorithm

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