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Inhaltsangabe
Multi –criteria decision making problems in fuzzy environment has received wide attention from researches in view of its practical application to real life situations. Based on the type of data used to express the different alternatives, different approaches/methodologies are employed to tackle the fuzzy MCDM problems. The mostly used tools to deal with such problems are aggregation operators and score functions. In this monograph we elaborate the use of score functions in solving fuzzy MCDM problems, introduce a new weighted geometric aggregation operator, discuss the drawbacks and short comings of the existing score functions and emphasize the need for new score functions to overcome the existing deficiencies. Some new score functions based on a new type of fuzzy set are defined and some theoretical properties of these functions are established. These score functions are used in solving the most general fuzzy MCDM problems with the help of new methodology. A comparative analysis is also carried out to establish the supremacy and efficient working of the new methods and the new score functions.
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Reseña del editor
Multi –criteria decision making problems in fuzzy environment has received wide attention from researches in view of its practical application to real life situations. Based on the type of data used to express the different alternatives, different approaches/methodologies are employed to tackle the fuzzy MCDM problems. The mostly used tools to deal with such problems are aggregation operators and score functions. In this monograph we elaborate the use of score functions in solving fuzzy MCDM problems, introduce a new weighted geometric aggregation operator, discuss the drawbacks and short comings of the existing score functions and emphasize the need for new score functions to overcome the existing deficiencies. Some new score functions based on a new type of fuzzy set are defined and some theoretical properties of these functions are established. These score functions are used in solving the most general fuzzy MCDM problems with the help of new methodology. A comparative analysis is also carried out to establish the supremacy and efficient working of the new methods and the new score functions.
Biografía del autor
N.Thillaigovindan, Queuing Theory, Fuzzy sets, Rough sets and their applications, Multi criteria decision making. Arab Minch Univerisy, Ethiopia. S.Anita Shanthi, Fuzzy sets, Rough sets and their applications including MCDM, Annamalai University, India. J.Vadivel Naidu, Fuzzy sets and its applications, Deivanai Ammal college, Tamilnadu, India.
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Fuzzy Multi-criteria decision making problems
Verlag:
LAP Lambert Academic Publishing Jul 2017, 2017
ISBN 10: 3330348488
ISBN 13: 9783330348486
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Taschenbuch. Zustand: Neu. Neuware -Multi ¿criteria decision making problems in fuzzy environment has received wide attention from researches in view of its practical application to real life situations. Based on the type of data used to express the different alternatives, different approaches/methodologies are employed to tackle the fuzzy MCDM problems. The mostly used tools to deal with such problems are aggregation operators and score functions. In this monograph we elaborate the use of score functions in solving fuzzy MCDM problems, introduce a new weighted geometric aggregation operator, discuss the drawbacks and short comings of the existing score functions and emphasize the need for new score functions to overcome the existing deficiencies. Some new score functions based on a new type of fuzzy set are defined and some theoretical properties of these functions are established. These score functions are used in solving the most general fuzzy MCDM problems with the help of new methodology. A comparative analysis is also carried out to establish the supremacy and efficient working of the new methods and the new score functions.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Artikel-Nr. 9783330348486
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Fuzzy Multi-criteria decision making problems
Verlag:
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330348488
ISBN 13: 9783330348486
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Paperback. Zustand: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Artikel-Nr. 3330348488
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