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所在平台: Udemy |
课程主页: https://www.udemy.com/course/multi-criteria-decision-making-mcdm-using-matlab-and-excel-h/
课程评论：没有评论
课程名称：使用Matlab和Excel进行多标准决策分析（MCDM） 课程概述：多标准决策分析（MCDM）是运筹学的前沿领域，致力于开发复杂的计算和数学工具，帮助决策者客观评估绩效标准。本课程是Udemy首次推出的全面课程，深入探讨MCDM方法的多样性。专为学生、研究人员和行业专业人士设计，本实用课程旨在弥合理论知识与实际应用之间的差距。 课程结构分为三个不同阶段： 1. 理论介绍：全面探索每种方法的基础原则。 2. 实践实施：学员将学习如何使用Microsoft Excel应用这些方法，强调实用技能。 3. Matlab编程：课程最后，学员将学习在Matlab中编写这些方法的代码，提高技术能力。 课程亮点包括： - MCDM基础知识 - 简单加权和(SAW) - 层次分析法(AHP) - 分析网络过程(ANP) - 理想解的排序优先技术(TOPSIS) - 现实转化选择的消除法(ELECTRE) - 促进评估排序方法(PROMETHEE) - 多标准优化与折中解决(VIKOR) - 决策试验与评估实验室(DEMATEL) - 灰色关联分析(GRA) - 基于比率分析的多目标优化(MOORA) - 复杂比例评估(COPRAS) - 加权比率评估(ARM-ARAS) - 加权综合和乘积评估(WASPAS) - 分步加权评估比率分析(SWARA) - 基于距离的组合评估(CODAS) - 基于距离的平均解评估(EDAS) - 根据折中解进行测量替代和排名(MARCOS) - 通过相互判断相关性确定标准重要性(CRITIC) - 熵加权技术 该课程还提供丰富的编码教程，给学生们提供了通过实践应用加深理解的机会。完成本课程后，学员将具备熟练使用Excel和Matlab解决各种MCDM挑战的技能，为掌握更多MCDM技术打下坚实基础。
Multi-Criteria Decision-Making (MCDM) stands at the forefront of operations research, dedicated to developing sophisticated computational and mathematical tools to assist decision-makers in evaluating performance criteria objectively.For the first time on Udemy, we're excited to introduce a comprehensive course that dives deep into the diverse world of MCDM methodologies. Designed specifically for students, researchers, and industry professionals, this practical course aims to bridge the gap between theoretical knowledge and real-world application.Our unique approach to exploring each MCDM methodology unfolds in three distinct phases:Introduction to Theory: We begin with a thorough exploration of the foundational principles underlying each method.Hands-on Implementation: Participants will learn to apply these methods using Microsoft Excel, emphasizing practical skills.Coding with Matlab: The course culminates with participants coding the methodologies in Matlab, enhancing their technical proficiency.Course Highlights Include:Fundamentals of MCDMSimple Additive Weightage (SAW)Analytic Hierarchy Process (AHP)Analytic Network Process (ANP)Technique for Order Preference and Similarity to Ideal Solution (TOPSIS)Elimination Et Choice Translating Reality (ELECTRE)Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)Decision-Making Trial and Evaluation Laboratory (DEMATEL)Grey Relational Analysis (GRA)Multi-objective Optimization on the Basis of Ratio Analysis (MOORA)Complex Proportion Assessment (COPRAS)Additive Ratio Assessment (ARM-ARAS)Weighted Aggregated Sum Product Assessment (WASPAS)Stepwise Weight Assessment Ratio Analysis (SWARA)COmbinative Distance-based ASsessment (CODAS)Evaluation Based on Distance from Average Solution (EDAS)Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS)CRiteria Importance Through Intercriteria Correlation (CRITIC)Entropy Weighting TechniqueThe course is further enhanced with a wealth of coding tutorials, offering students numerous opportunities to solidify their understanding through practical application.Upon completing this course, participants will possess the skills to adeptly use Excel and Matlab for addressing various MCDM challenges, laying a solid foundation for mastering additional MCDM techniques.
