A Prediction Method of Suitable Area for Site Selection of Engineering Construction

Abstract

The present invention relates to the technical field of forecasting suitable area for site selection of engineering construction, in particular to a method for predicting suitable area for site selection of engineering construction, including the steps of division of influencing index factors, steps of correlation analysis of each influencing index factor division and grid unit size The step of selecting, the step of calculating the weighted information amount and the step of determining the information amount threshold; the step of calculating the weighted information amount includes calculating the information amount of each influencing index factor; reducing the attribute according to the amount of information and geological elements Weight, calculate the weighted information volume of each impact index factor; calculate the comprehensive weighted information volume of all impact index factors contained in each grid unit according to the weighted information volume. The invention combines the space weighting theory, adds the weight determined by the fuzzy rough set method into the traditional information quantity model, and greatly improves the prediction accuracy.

Description

technical field [0001] The invention relates to the technical field of prediction of a suitable area for engineering construction site selection, in particular to a method for predicting a suitable area for engineering construction site selection. Background technique [0002] Many methods have been put forward to predict the suitable area for engineering construction site selection, such as Defer method, Analytic Hierarchy Process (AHP), Fuzzy Analytic Hierarchy Process (FAHP), Entropy Weight Theory, Fuzzy Mathematics and Rough Set Theory, Evidence weight method, neural network method, particle swarm algorithm, etc. These methods have many deficiencies in practical application, especially the problem of weight distribution of evaluation indicators is outstanding, which needs to be reformed and improved, which is also the starting point of the invention. The previous research methods can be roughly divided into categories such as AHP related methods, probability and statist...

AI Technical Summary

Problems solved by technology

[0007] AHP-related methods cannot deal with incomplete indicators, nor can they refine the internal relationship between data, so it is difficult to apply to different engineering geological environments

[0008] 2) Probability and statistics methods and their deficiencies

Although early people found that fuzzy sets and rough sets are complementary rather than competitive; however, early use of the similarity of the two concepts and the combination of their advantages to form a new hybrid theory encountered great obstacles

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