Dear All,
We are pleased to invite you to join our 10-Part E-Course on TOPSIS Multi-Criteria Decision-Making (MCDM) Techniques with Real-Life Case Studies.
Decision-making problems in research and professional practice often involve several alternatives and conflicting criteria—for example, cost, performance, risk, environmental impact, reliability, and social benefit. The TOPSIS method, or Technique for Order Preference by Similarity to Ideal Solution, provides a structured approach for evaluating such alternatives and identifying the most suitable option.
Through this course, you will learn the complete TOPSIS procedure in a clear, step-by-step manner. Topics include preparing the decision matrix, identifying benefit and cost criteria, normalizing data, assigning criteria weights, developing the weighted normalized matrix, determining positive and negative ideal solutions, calculating separation distances, estimating relative closeness, and ranking the available alternatives.
The 10-part course is supported by practical, real-life case studies so that participants can understand not only the mathematical procedure but also its application in research, engineering, water-resource planning, environmental management, business, and other fields. The lessons are designed to be useful for MTech and PhD scholars, researchers, faculty members, engineers, analysts, and professionals interested in systematic and evidence-based decision-making.
Do not miss this opportunity to strengthen your MCDM knowledge and gain practical TOPSIS skills. Join the course today and learn how to convert complex multi-criteria problems into clear, transparent, and defensible decisions.