Multi-Criteria Decision-Making Sorting Methods: Applications to Real-World Problems

Multi-Criteria Decision-Making Sorting Methods is a comprehensive guide to sorting approaches across various techniques and research disciplines, providing a clear overview of MCDM sorting methods and tools for solving real-world problems. It is aimed at a broad audience, including computer scientists, engineers, geography and GIS experts, business and financial management experts, environment experts, and those interested in MCDM and its applications.

Format: Paperback / softback
Length: 370 pages
Publication date: 01 June 2023
Publisher: Elsevier Science & Technology

Multi-Criteria Decision-Making (MCDM) is a comprehensive approach to decision-making that considers multiple conflicting criteria in complex scenarios. It is a branch of operational research that aims to find optimal solutions in situations where there are multiple indicators, objectives, and criteria. MCDM involves decision-making processes that consider both quantitative and qualitative factors. Its importance and success lie in its ability to address diverse problematics, such as choice, ranking, sorting, and description.

One of the key aspects of MCDM is sorting methods, which are used to organize and compare different alternatives based on their attributes. Sorting methods can be applied to a wide range of problems, including decision-making in business, finance, engineering, and environmental management. The book "Multi-Criteria Decision-Making Sorting Methods" provides a comprehensive overview of sorting methods and their applications. It covers various techniques, including ranking, sorting, and clustering, and discusses their advantages and disadvantages.

The book is aimed at a broad audience, including computer scientists, engineers, geographers, GIS experts, business and financial management experts, environment experts, and all those professional people interested in MCDM and its applications. It is also useful for teaching MCDM courses in fields such as industrial management, computer science, and applied mathematics.

One of the key features of the book is its practical approach. It provides step-by-step instructions on how to apply sorting methods to real-world problems, and includes numerous examples and case studies to illustrate the concepts. The book also includes a discussion of the latest developments in multi-criteria decision-making, including the use of artificial intelligence and machine learning.

In addition to sorting methods, the book also covers other important aspects of MCDM, such as decision-making under uncertainty, risk analysis, and stakeholder analysis. It provides a framework for analyzing and evaluating different alternatives and making informed decisions.

One of the challenges of MCDM is the complexity of the decision-making process. It requires a thorough understanding of the problem, the criteria, and the alternatives. The book provides a clear and concise explanation of the decision-making process, and includes numerous examples and case studies to illustrate the concepts.

Another challenge of MCDM is the need to balance conflicting criteria. Different stakeholders may have different preferences and priorities, and it can be difficult to find a solution that satisfies everyone. The book provides a framework for balancing conflicting criteria and making informed decisions.

In conclusion, Multi-Criteria Decision-Making Sorting Methods is a comprehensive and practical guide to sorting methods and their applications in decision-making. It is aimed at a broad audience and is useful for teaching MCDM courses in fields such as industrial management, computer science, and applied mathematics. The book provides a clear and concise explanation of the decision-making process, and includes numerous examples and case studies to illustrate the concepts. Whether you are a professional or a student, this book will help you improve your decision-making skills and make better decisions in your life.

Dimension: 229 x 152 (mm)
ISBN-13: 9780323852319