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1. |
Record Nr. |
UNINA990008344850403321 |
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Autore |
Motta, Arturo |
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Titolo |
La responsabilità degli organi della cooperativa rispetto ai membri ed ai creditori : dissertazione / Arturo Motta |
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Pubbl/distr/stampa |
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Belinzona ; Lugano : Istituto editoriale ticinese, 1938 |
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Descrizione fisica |
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Disciplina |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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2. |
Record Nr. |
UNINA9910157601003321 |
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Autore |
Liao Huchang |
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Titolo |
Hesitant Fuzzy Decision Making Methodologies and Applications / / by Huchang Liao, Zeshui Xu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIII, 275 p. 19 illus., 8 illus. in color.) |
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Collana |
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Uncertainty and Operations Research, , 2195-9978 |
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Disciplina |
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Soggetti |
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Operations research |
Computational intelligence |
Operating systems (Computers) |
Operations Research and Decision Theory |
Computational Intelligence |
Operating Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Preface -- 1 Hesitant Fuzzy Set and Its Extensions -- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set -- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators -- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information -- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights -- 6 Decision Making with Hesitant Fuzzy Preference Relation. |
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Sommario/riassunto |
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This book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted aggregation operators, hesitant fuzzy multiple-criteria decision-making with incomplete weights, hesitant fuzzy multiple criteria decision-making with complete weights information, and the hesitant fuzzy preference relation based decision-making theory. These methodologies are implemented in various fields such as decision-making, medical diagnosis, cluster analysis, service quality management, e-learning management and environmental management. A valuable resource for engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science, management science and engineering, it can also be used as a textbook for postgraduate and senior undergraduate students. |
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