Mostafa Hajiaghaei-Keshteli – författare

Encyclopedia of Multi-Attribute Decision Making (MADM) presents current methods in MADM in a simple way, including Sections on Weighting Methods, Extensions for the MADM Methods, Ranking Methods, and Outranking Methods. Each method chapter presents two numerical examples for each method, one simple example with less than six criteria and six alternatives, and one complex example with six or more criteria and six or more alternatives. In addition, most chapters are written by the original developers of the method, ensuring insight into and practical application of MADM. The book is also filled with over 200 full-color figures that illustrate methods and applications.The book, in one volume, demystifies the complex world of MADM, blending theoretical concepts with hands-on practices and case studies. It bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of MADM.Includes chapters on all the current Multi-Attribute Decision Making methods, including Sections on Weighting Methods, Extensions for the MADM Methods, Ranking Methods, and Outranking MethodsPresents a consistent structure, enabling easier learning of methodsProvides two numerical examples for each method, one simple example with less than six criteria and six alternatives, and one complex example with six or more criteria and six or more alternativesIncludes comprehensive coverage of balanced theory and practice, thus ensuring a strong theoretical foundation paired with actionable insights for real-world applications

Encyclopedia of Multi-Attribute Decision Making (MADM) presents current methods in MADM in a simple way, including Sections on Weighting Methods, Extensions for the MADM Methods, Ranking Methods, and Outranking Methods. Each method chapter presents two numerical examples for each method, one simple example with less than six criteria and six alternatives, and one complex example with six or more criteria and six or more alternatives. In addition, most chapters are written by the original developers of the method, ensuring insight into and practical application of MADM. The book is also filled with over 200 full-color figures that illustrate methods and applications.The book, in one volume, demystifies the complex world of MADM, blending theoretical concepts with hands-on practices and case studies. It bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of MADM. - Includes chapters on all the current Multi-Attribute Decision Making methods, including Sections on Weighting Methods, Extensions for the MADM Methods, Ranking Methods, and Outranking Methods- Presents a consistent structure, enabling easier learning of methods- Provides two numerical examples for each method, one simple example with less than six criteria and six alternatives, and one complex example with six or more criteria and six or more alternatives- Includes comprehensive coverage of balanced theory and practice, thus ensuring a strong theoretical foundation paired with actionable insights for real-world applications

Reliable Decision-Making for Sustainable Transportation explores decision-making methods that incorporate expert and decision-maker opinions for improved reliability. The book examines fuzzy sets that capture ambiguity and enable a more comprehensive analysis of stakeholder perspectives, focusing on transportation case studies to demonstrate techniques for weighing criteria, ranking alternatives, and selecting optimal and reliable decisions. It seeks to advance transportation planning, traffic engineering, road safety, and sustainability by integrating state-of-the-art decision support systems that leverage AI and multiple stakeholder viewpoints.This approach will benefit researchers and professionals across transportation, decision sciences, supply chain management, and operations looking for innovative ways to model uncertainty and decision-maker reliability and providing methodologies and frameworks for more robust group decisions.Introduces reliability concepts in decision-making, providing insights into the robustness of strategic choices for sustainable transportationPresents practical case studies within the transportation sector to illustrate the application of reliability principles in decision-making, offering tangible solutions to everyday challengesProvides reliable strategies for existing public transportation systems, considering the unique challenges faced by investment departments and engineers in the planning process

Reliable Decision-Making for Sustainable Transportation explores decision-making methods that incorporate expert and decision-maker opinions for improved reliability. The book examines fuzzy sets that capture ambiguity and enable a more comprehensive analysis of stakeholder perspectives, focusing on transportation case studies to demonstrate techniques for weighing criteria, ranking alternatives, and selecting optimal and reliable decisions. It seeks to advance transportation planning, traffic engineering, road safety, and sustainability by integrating state-of-the-art decision support systems that leverage AI and multiple stakeholder viewpoints.This approach will benefit researchers and professionals across transportation, decision sciences, supply chain management, and operations looking for innovative ways to model uncertainty and decision-maker reliability and providing methodologies and frameworks for more robust group decisions. - Introduces reliability concepts in decision-making, providing insights into the robustness of strategic choices for sustainable transportation- Presents practical case studies within the transportation sector to illustrate the application of reliability principles in decision-making, offering tangible solutions to everyday challenges- Provides reliable strategies for existing public transportation systems, considering the unique challenges faced by investment departments and engineers in the planning process

This book presents the select proceedings of the 3rd International Conference on Intelligent Systems and Applications 2024. The theme of this conference is ‘Intelligent Systems for Agricultural Applications'. It covers the topics of intelligent systems in multiple aspects such as sustainable crop production, weather prediction, post-harvest management and agro-processing, digitalization and automation of agri equipment, agriculture warehouse and supply chain management, yield prediction, and quality assessment. The book is useful for researchers and professionals interested in the broad field of artificial intelligence and machine learning.