A Variable Weight Function Model in Geological Variables Function Research

Author:

Liu Wen Bo1,Liu Lai Jun1

Affiliation:

1. Jilin University

Abstract

In mineral resources prediction and other research of geological variables, stability exactness of quantitative models concern modeling conditions, geological variables from model and the status of the variable. In traditional geological modeling process, variable support is measured under some contrains weight and this kind of weight is characterized by constant coefficients. Constant weight[1] has some limitations due to structuredness and dependency of variable. For overcoming the inflexibility of constant weight, this paper proposes geological variable mathematics model basedd state variable vector. We revise existing form of state variable weight and provide logarithm state variable vector as measurement level of geological variable weight coefficients. According to 1:200000 scale geochemistry measured data from Baishan area, we calculate the samples unit connection degree based on exponent and logarithm state variable vector and compare the connection degree based on constant weight. The connection degree sorting has the similarity as a whole among them, but there is the obvious difference locally. We can conclude that geological variable weight function based on state variable vector is more flexible and fine.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference10 articles.

1. Xinming Wang, Wei Cui. Application of Changeable Weight Combination Forecasting Model to Groundwater Level Prediction[J]. Journal of Jilin University(Earth Science Edition), 2009, 39(6): 1101-1105.

2. Laijun Lu. Some problems in Geological variable function research. Changchun College of Geology journal doctoral proceedings, 1992, 223-229.

3. Deqing Li, Feilong Hao. Weights transferring effect of State variable weight vector. Systems Engineering-Theory & Practice, 2009, 29(6): 127-131.

4. Hongxing Li, Lingxia Li. Fuzzy decision making basedd on variable weights. Mathematical and Computer Modelling, 2004, 39(4), 163-179.

5. Fengju Lu, Yundong Gu. Note on Balance degree and variable weight, [J]. Journal of Beijing Normal University(Natural Science), 2002, 38(6):739-743.

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