Ejegwa paul augustine (20 resultados)

Taschenbuch. Condición: Neu. Intuitionistic fuzzy sets theory in decision making | Ejegwa Paul Augustine | Taschenbuch | 56 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659661785 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: new.

Condición: New.

Buch. Condición: Neu. Neuware - This book looks at how to combine metaheuristic optimization algorithms and fuzzy decision-making methods to improve the sustainability and effectiveness of supply chains. Mathematical and metaheuristic optimization 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. This book offers a variety of decision-making techniques, including entropy measures, distance measures, coefficient correlation, aggregating operators, TOPSIS, EDAS, and more. This book 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.…

Condición: New. Dr. Kamal Kumar is listed in the top 2% of cited scientists list of Stanford University and Elsevier B.V. He is an assistant professor at Amity University Haryana, Gurugram, India. Dr. Kumar received his doctoral degree at Thapar Institu.

Hardcover. Condición: Brand New. 260 pages. 6.69x2.00x9.45 inches. In Stock.

Condición: New.

Condición: Sehr gut. Zustand: Sehr gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Condición: Neu. Fuzzy Decision-Making Algorithms | Mathematical Optimization, Metaheuristic Optimization, Supply Chain Management | Kamal Kumar (u. a.) | Buch | X | Englisch | 2026 | De Gruyter | EAN 9783119142663 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu. …

Condición: New. 2026. 1st Edition. hardcover. . . . . .

Condición: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condición: gut. 2026. Fuzzy Decision-Making Algorithms: Mathematical Optimization, Metaheuristic Optimization, Supply Chain Management (De Gruyter Series on the . in Engineering and Information Sciences) In deutscher Sprache. pages.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intuitionistic fuzzy sets theory is the modification or extension of fuzzy sets theory by incorporating two additional functions to the membership function. We studied the mathematics of intuitionistic fuzzy sets in collaboration with fuzzy sets. In terms of application, intuitionistic fuzzy sets theory is awesome because of its ability to cope with uncertainties in decision making especially in difficult cases we elaborated in this study. In a nutshell, intuitionistic fuzzy sets theory is a suitable and reliable tool in decision science. 56 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Intuitionistic fuzzy sets theory is the modification or extension of fuzzy sets theory by incorporating two additional functions to the membership function. We studied the mathematics of intuitionistic fuzzy sets in collaboration with fuzzy sets. In terms of application, intuitionistic fuzzy sets theory is awesome because of its ability to cope with uncertainties in decision making especially in difficult cases we elaborated in this study. In a nutshell, intuitionistic fuzzy sets theory is a suitable and reliable tool in decision science.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Augustine Ejegwa PaulEjegwa Paul Augustine holds a B.Sc degree in Mathematics from Benue State University, Makurdi-Nigeria, a Postgraduate Diploma in Education from National Teachers Institute, Kaduna-Nigeria and M.Sc degree in Math.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Intuitionistic fuzzy sets theory is the modification or extension of fuzzy sets theory by incorporating two additional functions to the membership function. We studied the mathematics of intuitionistic fuzzy sets in collaboration with fuzzy sets. In terms of application, intuitionistic fuzzy sets theory is awesome because of its ability to cope with uncertainties in decision making especially in difficult cases we elaborated in this study. In a nutshell, intuitionistic fuzzy sets theory is a suitable and reliable tool in decision science.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.…

Hardcover. Condición: new. Hardcover. This book looks at how to combine metaheuristic optimization algorithms and fuzzy decision-making methods to improve the sustainability and effectiveness of supply chains. Mathematical and metaheuristic optimization 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. This book offers a variety of decision-making techniques, including entropy measures, distance measures, coefficient correlation, aggregating operators, TOPSIS, EDAS, and more. This book 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condición: new. Hardcover. This book looks at how to combine metaheuristic optimization algorithms and fuzzy decision-making methods to improve the sustainability and effectiveness of supply chains. Mathematical and metaheuristic optimization 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. This book offers a variety of decision-making techniques, including entropy measures, distance measures, coefficient correlation, aggregating operators, TOPSIS, EDAS, and more. This book 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. This book looks at how to combine metaheuristic optimization algorithms and fuzzy decision-making methods to improve the sustainability and effectiveness of supply chains. Mathematical and metaheuristic optimization 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. This book offers a variety of decision-making techniques, including entropy measures, distance measures, coefficient correlation, aggregating operators, TOPSIS, EDAS, and more. This book 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…