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Prediction method and device for agricultural product consuming behavior decisions

A technology for agricultural products and behavior, applied in marketing, instrumentation, finance, etc., can solve the problem of not being able to adapt well to the geographical correlation of risk events

Active Publication Date: 2015-06-24
AGRI INFORMATION INST OF CAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of method cannot well adapt to the characteristics of regional correlation, sudden occurrence, and rapid development of risk events.

Method used

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  • Prediction method and device for agricultural product consuming behavior decisions
  • Prediction method and device for agricultural product consuming behavior decisions
  • Prediction method and device for agricultural product consuming behavior decisions

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] figure 1 A schematic flowchart of the method for predicting agricultural product consumption behavior decision-making provided in Embodiment 1 of the present invention is given. The method can be used to predict agricultural product consumption behavior decision-making. The method can be executed by a prediction device for agricultural product consumption behavior decision-making. Agricultural product consumption behavior decision-making The prediction device can be implemented in the form of software and / or hardware. Such as figure 1 As shown, the method includes:

[0039] Step 101, establishing a consumption behavior decision prediction model.

[0040] Modeling is the process of establishing a system model, also known as modeling. Modeling is an important means and premise of studying the system. Any process that uses a model to describe the causal relationship or mutual relationship of a system belongs to modeling. Because the relationship described is different...

Embodiment 2

[0051] figure 2A schematic flowchart of the method for predicting agricultural product consumption behavior decision-making provided by Embodiment 2 of the present invention is given. This embodiment is optimized based on the above-mentioned embodiment. In this embodiment, the steps of establishing a consumption behavior decision-making prediction model are optimized as follows: Obtain consumer characteristics and consumers' consumption behavior decisions for different degrees of risk; according to the obtained consumer data, a consumption behavior decision prediction model is established based on the BP neural network algorithm.

[0052] Correspondingly, the method of this embodiment includes the following steps:

[0053] Step 201, acquiring consumer characteristics and consumers' consumption behavior decisions for different degrees of risk.

[0054] Among them, consumer characteristics include consumer age, gender and income. Exemplarily, this embodiment can obtain consum...

Embodiment 3

[0077] Figure 6 A structural schematic diagram of the predicting device for decision-making of agricultural product consumption provided by Embodiment 3 of the present invention is given. Such as Figure 6 As shown, the device includes:

[0078] A predictive model building unit 60, configured to build a consumer behavior decision-making predictive model;

[0079] The risk perception degree calculation unit 61 is used to calculate the risk perception degree of the current map board according to the risk degree of the risk event of each map board in its place of occurrence, the number of risk events, and the actual distance from the place where the risk event occurred to the current map board ; Among them, the map section is the section divided on the map of the entire region involved in the risk event;

[0080] The consumption behavior decision prediction unit 62 is configured to predict the consumption behavior decision of consumers in the current map section according to ...

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Abstract

The invention provides a prediction method and device for agricultural product consuming behavior decisions. The method includes the steps that a consuming behavior decision predicting model is set up; according to the risk degrees, in occurring places, of risk events in all map sections, the number of the risk events and actual distances from the occurring places of the risk events to the current map section, the risk perception degree of the current map section is calculated, wherein the map sections are sections which are divided in a map and involved in the risk events; according to the consuming behavior decision predicting model and the risk perception degree of the current map section, the consuming behavior decisions of consumers in the current map section are predicted. According to the actual distances from the occurring places of the risk events to the current map section, the risk perception degree of the current map section is calculated, the consuming behavior decision predicting model is combined to predict the consuming behavior decisions of the consumers, and the prediction method well adapts to the change characteristics that the risk events are territorially related, occur suddenly and develop fast.

Description

technical field [0001] The invention belongs to the field of prediction of agricultural product consumption behavior decision-making, and in particular relates to a prediction method and device for agricultural product consumption behavior decision-making. Background technique [0002] Food safety is an important indicator to measure the level of social and economic development and the quality of life of consumers. Consumers' consumption risk perception on food quality and food safety issues directly affects consumers' purchase motivation, and further determines consumers' purchase propensity and decision-making behavior. In the agricultural product market, consumer risk perception is not only the main aspect of studying consumer behavior decision-making changes under risk events, but also an important factor affecting agricultural production order, government decision-making and the profitability of the entire agricultural product industry chain. [0003] Under traditional...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q40/08
Inventor 李哲敏李干琼陈威许世卫董晓霞
Owner AGRI INFORMATION INST OF CAS
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