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evidence theory model
相关语句
  证据理论模型
     RESEARCH ON A SIMPLIFIED EVIDENCE THEORY MODEL
     一种简化证据理论模型的研究
短句来源
     A CONVEX EVIDENCE THEORY MODEL
     凸函数证据理论模型
短句来源
     The mineral resource targets delineated by the two models corresponded to each other, which proved the evidence theory model being effective and practical.
     两种模型的靶区圈定结果基本相同 ,证明证据理论模型是有效的和实用的。
短句来源
  “evidence theory model”译为未确定词的双语例句
     According to the geological data of the district from Duolanasayi to Ashele in northen part of the Xinjiang Uygur Autonomous Region, the author applied evidence theory model and combined ore forming belief model to mineral resource target selection.
     利用新疆北部多拉纳萨依—阿舍勒地区的地质资料 ,比较了该模型与合成有矿可信度模型的找矿靶区圈定结果。
短句来源
     A map layer integration model for automatic mapping of mineral resource potentials , called evidence theory model , was proposed.
     提出了一种基于图层综合的矿产资源潜力自动制图模型。
  相似匹配句对
     THE INTERPRETATION OF GENERALIZED EVIDENCE THEORY
     广义证据理论的解释
短句来源
     Approximation algorithm of evidence theory
     证据理论的近似算法
短句来源
     D-S THEORY OF EVIDENCE AND CF MODEL
     D-S证据理论和CF模型
短句来源
     theory.
     理论计算得理论图。
短句来源
     The theory and the (?)
     这个理论本身和社会实践均有一个不断发展的过程。
短句来源
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In order to improve the performance of the simplified evidence theory model URM1 from several aspects, distance functions between basic support functions (which are analogous to Mass functions in evidence theory) are given, combination conditions between basic support functions are further discussed, and based on the strategy of lining up to the highest authority, A method of combining basic support functions with authority factor is given. A method of making decision about interval conclusions...

In order to improve the performance of the simplified evidence theory model URM1 from several aspects, distance functions between basic support functions (which are analogous to Mass functions in evidence theory) are given, combination conditions between basic support functions are further discussed, and based on the strategy of lining up to the highest authority, A method of combining basic support functions with authority factor is given. A method of making decision about interval conclusions in evidence theory is put forward. On the one hand, this method has more generality compared with that of URM1; on the other hand it accords more with the intuition of mankind. In addition, it has due significance for research on cooperation among multi heterogeneous expert systems.

文中试图从几个方面来改进简化证据理论模型URM1的性能.针对URM1,文中给出了两个基本支持函数(相当于证据理论的Mas函数)间的距离函数,进一步讨论了基本支持函数间的组合条件;给出了基于向最高权威看齐策略的组合带权威性因子基本支持函数的方法.提出了一种对证据理论的证据区间进行决策的方法,一方面,它比URM1中的证据区间决策方法更具一般性,另一方面,它更符合人类的直觉,同时,它对多个异质型专家系统间的协作研究也有一定的意义

To solve the problems of the ordered propositions, an evidence theory model is given. But this model produces a combinational error because of computing precision. This problem is solved by presenting a new method of calculating parameter g . On the other hand, the different Mass functions denote the varied experts' options for the same thing, and the authorities of varied experts are different. But until now, There does not exist a method which combines two different weighted mass functions....

To solve the problems of the ordered propositions, an evidence theory model is given. But this model produces a combinational error because of computing precision. This problem is solved by presenting a new method of calculating parameter g . On the other hand, the different Mass functions denote the varied experts' options for the same thing, and the authorities of varied experts are different. But until now, There does not exist a method which combines two different weighted mass functions. Based on the above research results, this paper provides a method which can combine two different weighted mass functions.

吉林大学知识工程研究小组针对有序命题类问题给出了适合于有序命题类问题的一类证据理论模型,该模型中,由于g 的计算不够准确导致了组合误差,最大误差为一个分类等级.文中通过给出计算g 的新方法予以解决.此外在证据理论中,通常不同的Mass 函数代表不同专家对某一事物的看法,一般说来不同专家的权威性不尽相同,但迄今为止证据理论方面的研究还未给出组合两个具有不同权威性的Mass 函数的方法,文中通过扩展上述证据理论模型给出了能组合具有不同权威性的基本支持函数(相当于一般证据理论中的Mass函数)的综合函数

A map layer integration model for automatic mapping of mineral resource potentials, called evidence theory model, was proposed. The model statistically integrated map layers via the evidence theory used in artificial intelligence, and the degree of one locality belonging to the ore bearing sample set, measured by basic probability function, was used to express the mineral resource potential of the locality. This model could be applied to automatically generating mineral resource...

A map layer integration model for automatic mapping of mineral resource potentials, called evidence theory model, was proposed. The model statistically integrated map layers via the evidence theory used in artificial intelligence, and the degree of one locality belonging to the ore bearing sample set, measured by basic probability function, was used to express the mineral resource potential of the locality. This model could be applied to automatically generating mineral resource potential map in GISs. Drawing a mineral resource potential map with this model needed the following three step procedure. First of all, every map layer was served as the evidence of a knowledge production rule, and whether a locality of the studied area belonged to the ore bearing sample set or not was served as the corresponding hypothesis of the production rule, and the basic probability function related to the hypothesis was estimated. Secondly, the parallel rule used in the evidence theory was applied to combining all basic probability functions, so a combined basic probability function, which expressed the estimated degree of each locality belonging to the ore bearing sample set according to the corresponding map layer group, was obtained. Thirdly, as the mineral resource potential map of the studied area, the combined basic probability function map was generated. According to the geological data of the district from Duolanasayi to Ashele in northen part of the Xinjiang Uygur Autonomous Region, the author applied evidence theory model and combined ore forming belief model to mineral resource target selection. The mineral resource targets delineated by the two models corresponded to each other, which proved the evidence theory model being effective and practical.

提出了一种基于图层综合的矿产资源潜力自动制图模型。应用该模型生成矿产资源潜力分布图分三步完成 :第一步 ,以每一种找矿标志的空间分布图为依据 ,生成相应的基本概率分配函数栅格图 ;第二步 ,统计综合基本概率分配函数栅格图 ;第三步 ,生成研究区矿产资源潜力分布图。利用新疆北部多拉纳萨依—阿舍勒地区的地质资料 ,比较了该模型与合成有矿可信度模型的找矿靶区圈定结果。两种模型的靶区圈定结果基本相同 ,证明证据理论模型是有效的和实用的。

 
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