A regional and professional extensible bid evaluation expert selection method

An expert and professional technology, applied in the field of bid evaluation expert selection process and bid evaluation expert random selection, it can solve the problems of unexpandable specialties in expert selection area, insufficient fairness of expert random selection, and incomplete selection process of bid evaluation experts. The effect of improving the scope and ensuring fairness

Pending Publication Date: 2019-06-14
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0004] In order to overcome the deficiencies of the existing technology, overcome the incomplete extraction process of the existing bid evaluation experts, the problem of unexpandable expert extraction areas

Method used

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[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] The present invention is based on the government's regulatory policy in the field of bidding, the needs of enterprise bid evaluation experts, and the perspective of random selection of bid evaluation experts. Based on the Internet B / S mode, the whole process is adopted for the government's law enforcement supervision department, enterprises, and experts. Online management. The tendering enterprise independently submits the demand information of project bid evaluation experts, and calls the random extraction module to randomly select experts from the expert database. When the number of experts in a certain area is insufficient, the extraction can be extended to higher-level areas, such as extending from the county level to the city level; when the number of experts in a certain specialty is insufficient, the extraction can be extended to related ma

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Abstract

The invention provides a regional and professional extensible bid evaluation expert selectionmethod, which comprises the following steps of independently submitting the project bid evaluation expert demand information by a bid inviting enterprise, calling a random extraction module to randomly select experts in an expert library, and expandingly selecting to a superior region when the number of experts in a certain region is insufficient; when the number of the selected experts is insufficient, extending the selectionto the related specialties, wherein the expert weights are calculated according to expert evaluation times during selection, and the higher the evaluation times are, the higher the weights are, and the higher the probability of selectionis. According to the method, the expertselectionrange can be expanded while random expert selectionis ensured, and the fairness of expert selection is ensured.

Description

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Claims

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Application Information

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Owner NORTHWESTERN POLYTECHNICAL UNIV
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