Method for predicting suitable area for site selection of engineering construction

Abstract

The invention relates to the technical field of engineering construction site selection suitable area prediction, the invention particularly relates to a method for predicting a suitable area for engineering construction site selection, which comprises the steps of dividing influence index factors, dividing correlation analysis of each influence index factor, selecting mesh unit size, calculatingweighted information amount and determining information amount threshold value. The weighted information quantity calculating step comprises calculating the information quantity of each influence index factor; calculating a weighted information amount of each influence index factor according to the weight of the information amount and the reduction attribute of the geological element; calculatinga comprehensive weighted information amount of all influence index factors contained in each grid cell according to the weighted information amount. 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 site selection of engineering structures, in particular to a method for predicting a suitable area for site selection of engineering structures. Background technique [0002] Predecessors have proposed a variety of methods for predicting the suitable area for engineering construction site selection, such as the DeFiel 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. There are many deficiencies in these methods in practical application, especially the prominent problem of weight distribution of evaluation indicators, which needs to be reformed and improved, which is the starting point of this invention. Combing previous research methods can be roughly divided into related methods of AHP, probability ...

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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