安玲学记（202）——精读硕士论文研究对象和关键词定义

摘要：In this issue, the tweet will introduce the research object and keyword definition of the master's paper "Research on evaluation o

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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》的研究对象和关键词定义”。

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Today, the editor brings the "research object and keyword definition 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》的研究对象和关键词定义。

In this issue, the tweet will introduce the research object and keyword definition 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）

（一）研究对象——供应商评价（Research Object -- Supplier Evaluation）

供应商评价是指利用指标评价体系，对供应商供货质量服务水平、供赁价格、准时性、信用度等进行评价，为供应商的选择奠定基础。供应商评价方法有多种，主要包括成本法、线性规划法、非线性规划法、模糊规划法、多目标规划法、各种智能方法和实践方法。

Supplier evaluation refers to the use of index evaluation system to evaluate the supplier's supply quality, service level, supply price, punctuality, credit, etc., to lay the foundation for the selection of suppliers. There are many kinds of supplier evaluation methods, including cost method, linear programming method, nonlinear programming method, fuzzy programming method, multi-objective programming method, various intelligent methods and practical methods.

（二）关键词（Keywords）

1. 数据平台软件开发服务

1. Data platform software development services

数据平台软件开发服务是指专门用于构建、部署和维护数据平台软件系统的专业服务。这种服务涵盖了从数据采集、存储、处理、分析到可视化的整个数据生命周期，旨在帮助企业或组织高效地管理和利用其数据资源。

Data platform software development services refer to professional services specifically used to build, deploy and maintain data platform software systems. This service covers the entire data life cycle from data collection, storage, processing, analysis to visualization, and is designed to help a business or organization efficiently manage and utilize its data resources.

数据平台软件开发服务不仅涉及传统的软件开发活动，如需求分析、系统设计、编码、测试和部署，还包括对大数据技术栈的深刻理解和应用，例如分布式计算、数据挖掘、机器学习等。此外，这些服务还可能包括数据架构咨询、性能优化、数据治理和安全措施的实施，以确保数据平台软件能够满足企业日益增长的数据处理需求，并且在保证数据安全和合规的前提下，最大化地发挥数据的价值。

Data platform software development services not only involve traditional software development activities such as requirements analysis, system design, coding, testing, and deployment, but also include a deep understanding and application of big data technology stacks such as distributed computing, data mining, machine learning, and more. In addition, these services may include data architecture consulting, performance optimization, data governance, and implementation of security measures to ensure that the data platform software can meet the growing data processing needs of enterprises and maximize the value of data while maintaining data security and compliance.

2. 供应商评价

2. Supplier Evaluation

供应商评价已经在研究对象部分有所介绍。

Supplier evaluation has been introduced in the research object section.

3. 层次分析法

3. Analytic Hierarchy Process

层次分析法是指将一个复杂的多目标决策问题作为一个系统，将目标分解为多个目标或准则，进而分解为多指标（或准则、约束）的若干层次，通过定性指标模糊量化方法算出层次单排序（权数）和总排序，以作为目标（多指标）、多方案优化决策的系统方法。

Analytic hierarchy Process (AHP) is a systematic method that takes a complex multi-objective decision-making problem as a system, decomposes the objective into multiple objectives or criteria, and then decomposes several levels of multi-indicators (or criteria or constraints), and computs the hierarchical single ranking (weight) and total ranking through the qualitative index fuzzy quantization method, so as to optimize the decision of objectives (multi-indicators) and multi-schemes.

层次分析法是将决策问题按总目标、各层子目标、评价准则直至具体的备投方案的顺序分解为不同的层次结构，然后用求解判断矩阵特征向量的办法，求得每一层次的各元素对上一层次某元素的优先权重，最后再加权和的方法递阶归并各备择方案对总目标的最终权重，此最终权重最大者即为最优方案。

Analytic hierarchy process (AHP) decomposes the decision problem into different hierarchical structures according to the order of the overall goal, sub-goals of each level, evaluation criteria and specific backup plan. Then, by solving the eigenvector of the judgment matrix, the priority weight of each element at each level on an element at the upper level is obtained. Finally, the final weight of each alternative plan on the overall goal is recurred by the method of weighting sum. The one with the greatest final weight is the optimal scheme.

层次分析法比较适合于具有分层交错评价指标的目标系统，而且目标值又难于定量描述的决策问题。

The analytic hierarchy process (AHP) is more suitable for the decision problem of the target system with hierarchical and staggered evaluation indexes, and the target value is difficult to describe quantitatively.

四、知识补充——层次分析法计算步骤（Knowledge Supplement - Analytic Hierarchy Process Calculation Steps）

层次分析法根据问题的性质和要达到的总目标，将问题分解为不同的组成因素，并按照因素间的相互关联影响以及隶属关系将因素按不同层次聚集组合，形成一个多层次的分析结构模型，从而最终使问题归结为最低层(供决策的方案、措施等)相对于最高层(总目标)的相对重要权值的确定或相对优劣次序的排定。层次分析法计算步骤如下所示。

According to the nature of the problem and the overall goal to be achieved, the analytic hierarchy process (AHP) divides the problem into different component factors, and aggregates and combines the factors at different levels according to the interrelated influence and subordination of the factors to form a multi-level analysis structure model. Finally, the problem boils down to the determination of the relative importance weight of the lowest level (the scheme, measures, etc., for decision-making) relative to the highest level (the overall goal) or the ranking of the relative advantages and disadvantages. The analytic hierarchy process (AHP) calculation steps are as follows.