Fuzzy Decision-Making Algorithms
This book looks at how to combine metaheuristic optimisation algorithms and fuzzy decision-making methods to improve the sustainability and effectiveness of supply chains. Mathematical and metaheuristic optimisation methods based on natural processes, combined with fuzzy decision-making, enable the construction of models that can effectively address the multifaceted issues of contemporary supply chains.
Fuzzy Decision-Making Algorithms offers a variety of decision-making techniques, including entropy measures, distance measures, coefficient correlation, aggregating operators, TOPSIS, EDAS, and more. It overcomes the drawbacks of existing fuzzy decision-making methods.
The book also presents case studies that demonstrate the application of metaheuristic decision-making algorithms to improve the sustainability and viability of supply chains. One such notable example is green supplier selection in supply chain management.
The changing supply chain management landscape offers many areas for future research, like investigating the intersection of mathematical and metaheuristic fuzzy decision-making algorithms with new technologies such as the Internet of Things (IoT) and artificial intelligence, which can create more responsive and adaptive supply chains.
Description
This book looks at how to combine metaheuristic optimisation algorithms and fuzzy decision-making methods to improve the sustainability and effectiveness of supply chains. Mathematical and metaheuristic optimisation methods based on natural processes, combined with fuzzy decision-making, enable the construction of models that can effectively address the multifaceted issues of contemporary supply chains.
Fuzzy Decision-Making Algorithms offers a variety of decision-making techniques, including entropy measures, distance measures, coefficient correlation, aggregating operators, TOPSIS, EDAS, and more. It overcomes the drawbacks of existing fuzzy decision-making methods.
The book also presents case studies that demonstrate the application of metaheuristic decision-making algorithms to improve the sustainability and viability of supply chains. One such notable example is green supplier selection in supply chain management.
The changing supply chain management landscape offers many areas for future research, like investigating the intersection of mathematical and metaheuristic fuzzy decision-making algorithms with new technologies such as the Internet of Things (IoT) and artificial intelligence, which can create more responsive and adaptive supply chains.
