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A Fairness Review Method for Random Selection System

A fair and system-generated technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of failure to effectively guarantee the fairness of the system, heavy workload, complex operation, etc., to improve the review speed, The effect of reducing the amount of calculation

Inactive Publication Date: 2018-06-26
SHANGHAI DIANJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, for multiple selections, especially when the number of selections is not limited, the above-mentioned review method is not only complicated to operate, but also heavy in workload, and cannot effectively guarantee the fairness of the system

Method used

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  • A Fairness Review Method for Random Selection System

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Embodiment Construction

[0021] The present invention is described in detail below in conjunction with accompanying drawing:

[0022] Such as figure 1 As shown, the present invention provides a fairness review method for a random selection system, comprising the following steps:

[0023] S1: Simulation modeling. After processing the results generated by the selection system, a simulation model is established. Specifically, it includes the following steps:

[0024] S11: taking a plurality of result sets among the results generated by the selection system as samples;

[0025] S12: Scanning and summarizing the extracted samples;

[0026] S13: Establish a simulation model on the distributed storage platform - open source distributed computing software architecture (Hadoop), and get multiple distributed file-oriented results, that is, assign a unique ID to each bidder, and count according to the sample The corresponding relationship between the successful bidder and the number of successful bids forms a...

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Abstract

The invention discloses a method for examining the fairness of a random selection system. The method comprises the steps of simulation modeling, clustering analysis and result examination, wherein firstly, a simulation model is established after a result generated by the selection system is processed through simulation modeling; secondly, clustering analysis is conducted on the established simulation model, and a clustering result is formed; finally, poisson distribution comparison is conducted on the clustering result, and the fairness of the selection system is examined. Meanwhile, a distributed type storage system Hadoop and a distributed calculation mode Map / Reduce are adopted, the calculation amount is reduced, and the examination speed is greatly increased; poisson distribution which is generally followed by standard random systems is introduced to the method to be used as a comparison basis, accuracy and reliability are achieved, and the fairness of the random selection system is effectively examined.

Description

technical field [0001] The invention relates to a fairness review method of a random selection system. Background technique [0002] With the rapid development of human civilization, the relationship between population and resources is becoming more and more tense, and the competition formed on a global scale is also intensifying. When the competing parties are evenly matched and deadlocked, the roulette-style random system often becomes the final decision of the negotiation. However, in this case, people turn their attention to the fairness of the random system. [0003] At present, for the most widely used random selection system of computer simulation, the fairness of the system is mainly reviewed by resorting to judicial or impartial agencies, combining background audits and on-site impartiality. According to the industry standard, a comprehensive inspection of the system is carried out to determine the random characteristics of the algorithm and the reliability of the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
Inventor 李建敦
Owner SHANGHAI DIANJI UNIV
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