安玲学记（236）——精读硕士论文4.3评价指标权重的确定（1）

摘要：In this issue, the tweet will introduce the 4.3 determination of evaluation index weights (1) of the master's paper "Research on e

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今天小编为大家带来“精读硕士论文《A公司数据平台项目软件开发服务供应商评价研究》的4.3评价指标权重的确定（1）”。

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Today, the editor brings the "4.3 determination of evaluation index weights (1) of software projects of the master's paper 'Research on evaluation of software development service providers of A company's data platform proiect'".

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一、内容摘要（Content summary）

本期推文将从思维导图、精读内容、知识补充三个方面介绍精读硕士论文《A公司数据平台项目软件开发服务供应商评价研究》的4.3评价指标权重的确定（1）。

In this issue, the tweet will introduce the 4.3 determination of evaluation index weights (1) of the master's paper "Research on evaluation of software development service providers of A company's data platform proiect" from three aspects: mind map, detailed reading content, and additional knowledge supplementation.

二、思维导图（Mind Mapping）

三、精读内容（Detailed Reading Content）

该部分聚焦数据平台项目软件开发服务供应商评价模型的构建，分两大部分展开。一是确定指标权重。运用层次分析法确定各评价指标的权重，与很多企业不同的是，该模型在此基础上还需考虑A公司的企业性质。二是应用权重评价。将层次分析法得到的各评价指标权重应用于公开采购，计算供应商总得分并排序。本次推文将分享指标权重确定的部分内容。

This part focuses on the construction of evaluation model of software development service provider of data platform project, which is divided into two parts. First, determine the index weight. The analytic hierarchy process is used to determine the weight of each evaluation index. Different from many enterprises, the model also needs to consider the enterprise nature of Company A on this basis. The second is the application of weight evaluation. The weights of each evaluation index obtained by analytic hierarchy process are applied to open procurement, and the total score of suppliers is calculated and sorted. This tweet will share some of the content of the metric weight determination.

按照上文中已确立的数据平台项目软件开发服务供应商评价指标，该论文通过层次分析法（AHP）计算得出数据平台项目软件开发服务供应商评价指标的权重。

According to the established evaluation indexes of software development service providers of data platform projects, this paper calculates the weight of evaluation indexes of software development service providers of data platform projects through the analytic hierarchy process (AHP).

首先是构建层次结构模型。该论文围绕数据平台项目软件开发供应商的选择构建了层次结构模型。目标层选择了满足项目技术规范要求的优秀供应商，规范要求繁琐，所选供应商需满足平台开发要求，且承诺数据平台上线3个月内集团考核指标综合排名前十，A公司达成此目标挑战大。准则层包含5个一级指标，即企业资质、同类项目经验、企业开发能力、对项目理解和费用，用于选择最优供应商。子准则层有10个二级指标，如企业自主知识产权证书、企业认证证书等，为选择最优服务商提供参考。

The first is to build a hierarchical model. This paper builds a hierarchical model around the selection of software development vendors for data platform projects. The target layer selects excellent suppliers that meet the requirements of the project technical specifications, which are complicated. The selected suppliers must meet the requirements of platform development, and promise to rank among the top ten in the group's comprehensive assessment index within three months after the data platform is launched. The criterion layer contains five first-level indicators, namely enterprise qualification, similar project experience, enterprise development ability, project understanding and cost, which are used to select the best supplier. The sub-criteria layer has 10 secondary indicators, such as enterprise independent intellectual property certificate, enterprise certification certificate, etc., to provide reference for selecting the best service provider.

然后是权威评价专家的选择。评价专家小组由5人组成，优先选择软件开发行业权威专家或高校学者，成员来自A公司业务相关部门，熟悉招标及技术评估。选择5人主要基于平衡分析深度与效率、单数成员确保意见分歧时按多数决断。

Then there is the selection of authoritative evaluation experts. The evaluation expert team is composed of 5 members. Authoritative experts in the software development industry or university scholars are preferred. The members come from the business departments of Company A and are familiar with bidding and technical evaluation. The selection of 5 people is mainly based on the depth and efficiency of the balanced analysis, and the odd number of members ensures that the majority will decide when the opinions are divided.

然后是构造判断（成对比较）矩阵。通过要素间两两对比构建判断矩阵，并邀请专家基于调研与业务经验独立对数据平台项目供应商评价指标进行重要性打分，以实现科学评估。

Then we construct the judgment (pairwise comparison) matrix. The judgment matrix is constructed through pairwise comparison between the elements, and experts are invited to independently score the importance of the evaluation indicators of the data platform project suppliers based on research and business experience, so as to achieve scientific evaluation.

四、知识补充——标度法（Knowledge Supplement - scale method）

1-9标度法是层次分析法（AHP）中用于量化主观判断的核心工具，通过1-9及其倒数表示元素间的相对重要性差异。

The 1-9 scale is the core tool used to quantify subjective judgments in analytic hierarchy Process (AHP), where 1-9 and its reciprocal represent the difference in relative importance between elements.

在层次分析法（AHP）和多准则决策中，除经典的1-9标度法外，常用的其他标度法还包括以下类型：

In the analytic Hierarchy Process (AHP) and multi-criteria decision making, in addition to the classic 1-9 scale method, other commonly used scaling methods include the following types: