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[null,"1.","Record Nr.",null,"UNINA9910299674503321"]
[null,null,"Autore",null,"Skalna Iwona"]
[null,null,"Titolo",null,"Advances in Fuzzy Decision Making : Theory and Practice / / by Iwona Skalna, Bogdan Rębiasz, Bartłomiej Gaweł, Beata Basiura, Jerzy Duda, Janusz Opiła, Tomasz Pełech-Pilichowski"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-26494-X"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XI, 151 p. 58 illus. in color.)"]
[null,null,"Collana",null,"Studies in Fuzziness and Soft Computing, , 1434-9922 ; ; 333"]
[null,null,"Disciplina",null,"003.56"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Engineering economy"]
[{"$nulls":4},"Operations research"]
[{"$nulls":4},"Decision making"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Engineering Economics, Organization, Logistics, Marketing"]
[{"$nulls":4},"Operations Research/Decision Theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Fuzzy Numbers -- Ordering of Fuzzy Numbers -- Fuzzy Random Variable and the Dempster-Shafer Theory of Evidence -- Multi-Attribute Decision Making Process and its Application -- Risk Assessment in the Presence of Uncertainty -- Application of Fuzzy Theory in Steel Production Planning and Scheduling -- Application of Fuzzy Decision Trees in Analog Forecasting -- Selected Issues of Visualisation of Fuzziness in Cardiac Imaging Data."]
[null,null,null,"Sommario/riassunto","This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for researchers in decision-making "]
[{"$nulls":4},"and decision-makers in business organizations alike."]