Multi-model fused house property evaluation method

Abstract

The present invention provides a real estate evaluation method with multi-model integration, which includes the following steps: determining the real estate price influencing factor; constructing a real estate transaction case database according to the determined real estate price influencing factor; obtaining real estate transaction cases in relevant areas through the real estate to be evaluated; screening the real estate data to obtain comparable transaction cases; quantify the housing price impact factors and calculate the weights of housing price impact factors; use set pair analysis model, VIKOR model, fuzzy mathematical model, and neural network model to calculate relevant parameters respectively; correct the time of real estate transaction cases, and estimate Property prices to be appraised. The present invention adopts spatial information technology to establish a real estate database, and based on this, constructs a precise quantification method for real estate valuation factors and a batch evaluation mode for real estate prices fused with multiple mathematical models, which overcomes the subjective nature of price influencing factors in traditional single-model valuation methods The problem of uniqueness and the singleness of the valuation model.

Description

technical field [0001] The invention relates to a multi-model fusion property evaluation method. Background technique [0002] The market comparison method in real estate valuation is a valuation method that evaluates the real estate price to be valued by referring to the actual transaction price of similar real estate in the near future at the valuation time point, and has developed into the preferred method of real estate valuation. However, in the application practice of valuation, it exists: (1) There is no effective management and sharing mechanism for transaction cases, and the accuracy of transaction cases cannot be guaranteed; (2) The selection of comparable transaction cases often relies on the experience of appraisers and lacks rigorous scientific demonstration; ( 3) In the case correction process, especially when regional factors and individual factors are corrected, appraisers can only rely on experience to analyze and process a large amount of spatial data, and ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a scientific and effective multi-model fusion real estate evaluation method that can evaluate real estate in batches. Using spatial information technology, a real estate database is established. Based on this, a precise quantification method for real estate valuation factors and The batch evaluation mode of real estate prices integrated with multiple mathematical models overcomes the problems of subjectivity of price influencing factors and singleness of evaluation models in traditional single-model evaluation methods

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