9783319082479 - fuzzy social choice models: explaining the government formation process: 318 di casey, peter c.; gibilisco, michael b.; a. goodman, carly; pook, kelly nelson; mordeson, john n.; wierman, mark j.; clark, terry d. (17 risultati)
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Fuzzy Social Choice Models : Explaining the Government Formation Process
Casey, Peter C.; Gibilisco, Michael B.; A. Goodman, Carly; Pook, Kelly Nelson; Mordeson, John N.; Wierman, Mark J.; Clark, Terry D.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 90 di 183 - Studies in Fuzziness and Soft Computing
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Fuzzy Social Choice Models: Explaining the Government Formation Process (Studies in Fuzziness and Soft Computing, 318)
C. Casey, Peter; B. Gibilisco, Michael; A. Goodman, Carly; Pook, Kelly Nelson; N. Mordeson, John; J. Wierman, Mark; D. Clark, Terry
Lingua: Inglese
Editore: Springer, 2014
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Fuzzy Social Choice Models : Explaining the Government Formation Process
Casey, Peter C.; Gibilisco, Michael B.; A. Goodman, Carly; Pook, Kelly Nelson; Mordeson, John N.; Wierman, Mark J.; Clark, Terry D.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 90 di 183 - Studies in Fuzziness and Soft Computing
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Lingua: Inglese
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the extent to which fuzzy set logic can overcome some of the shortcomings of public choice theory, particularly its inability to provide adequate predictive power in empirical studies. Especially in the case of social preferences, publ…ic choice theory has failed to produce the set of alternatives from which collective choices are made. The book presents empirical findings achieved by the authors in their efforts to predict the outcome of government formation processes in European parliamentary and semi-presidential systems. Using data from the Comparative Manifesto Project (CMP), the authors propose a new approach that reinterprets error in the coding of CMP data as ambiguity in the actual political positions of parties on the policy dimensions being coded. The range of this error establishes parties' fuzzy preferences. The set of possible outcomes in the process of government formation is then calculated on the basis of both the fuzzy Pareto set and the fuzzy maximal set, and the predictions are compared with those made by two conventional approaches as well as with the government that was actually formed. The comparison shows that, in most cases, the fuzzy approaches outperform their conventional counterparts.
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Fuzzy Social Choice Models : Explaining the Government Formation Process
Casey, Peter C.; Gibilisco, Michael B.; A. Goodman, Carly; Pook, Kelly Nelson; Mordeson, John N.; Wierman, Mark J.; Clark, Terry D.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 90 di 183 - Studies in Fuzziness and Soft Computing
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Fuzzy Social Choice Models: Explaining the Government Formation Process (Studies in Fuzziness and Soft Computing, 318)
C. Casey, Peter, B. Gibilisco, Michael, A. Goodman, Carly, P
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 90 di 183 - Studies in Fuzziness and Soft Computing
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book explores the extent to which fuzzy set logic can overcome some of the shortcomings of public choice theory, particularly its inability to provide adequate predictive power in empirical studies. Especially in the case of social preference…s, public choice theory has failed to produce the set of alternatives from which collective choices are made. The book presents empirical findings achieved by the authors in their efforts to predict the outcome of government formation processes in European parliamentary and semi-presidential systems. Using data from the Comparative Manifesto Project (CMP), the authors propose a new approach that reinterprets error in the coding of CMP data as ambiguity in the actual political positions of parties on the policy dimensions being coded. The range of this error establishes parties¿ fuzzy preferences. The set of possible outcomes in the process of government formation is then calculated on the basis of both the fuzzy Pareto set and the fuzzy maximal set, and the predictions are compared with those made by two conventional approaches as well as with the government that was actually formed. The comparison shows that, in most cases, the fuzzy approaches outperform their conventional counterparts.
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Fuzzy Social Choice Models : Explaining the Government Formation Process
Casey, Peter C.; Gibilisco, Michael B.; A. Goodman, Carly; Pook, Kelly Nelson; Mordeson, John N.; Wierman, Mark J.; Clark, Terry D.
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 90 di 183 - Studies in Fuzziness and Soft Computing
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Fuzzy Social Choice Models
C. Casey, Peter; B. Gibilisco, Michael; A. Goodman, Carly; Pook, Kelly Nelson; N. Mordeson, John; J. Wierman, Mark; D. Clark, Terry
Lingua: Inglese
Editore: Springer, 2014
Serie: Libro 90 di 183 - Studies in Fuzziness and Soft Computing
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Lingua: Inglese
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the extent to which fuzzy set logic can overcome some of the shortcomings of public choice theory, particularly its inability to provide adequate predictive power in empirical studies. Especially in the case of social p…references, public choice theory has failed to produce the set of alternatives from which collective choices are made. The book presents empirical findings achieved by the authors in their efforts to predict the outcome of government formation processes in European parliamentary and semi-presidential systems. Using data from the Comparative Manifesto Project (CMP), the authors propose a new approach that reinterprets error in the coding of CMP data as ambiguity in the actual political positions of parties on the policy dimensions being coded. The range of this error establishes parties' fuzzy preferences. The set of possible outcomes in the process of government formation is then calculated on the basis of both the fuzzy Pareto set and the fuzzy maximal set, and the predictions are compared with those made by two conventional approaches as well as with the government that was actually formed. The comparison shows that, in most cases, the fuzzy approaches outperform their conventional counterparts. 200 pp. Englisch.
Lingua: Inglese
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Condizione: New. PRINT ON DEMAND pp. 200.
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes practical approaches for predicting government formation using fuzzy mathematicsShows the latest results in modeling political dynamics using fuzzy sets theoryWritten by leading experts in the fie…ldThis book explores th.
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Lingua: Inglese
Editore: Springer, Springer Jul 2014, 2014
Serie: Libro 90 di 183 - Studies in Fuzziness and Soft Computing
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the extent to which fuzzy set logic can overcome some of the shortcomings of public choice theory, particularly its inability to provide adequate predictive power in empirical studies. Especially in the case of social prefe…rences, public choice theory has failed to produce the set of alternatives from which collective choices are made. The book presents empirical findings achieved by the authors in their efforts to predict the outcome of government formation processes in European parliamentary and semi-presidential systems.Using data from the Comparative Manifesto Project (CMP), the authors propose a new approach that reinterprets error in the coding of CMP data as ambiguity in the actual political positions of parties on the policy dimensions being coded. The range of this error establishes parties¿ fuzzy preferences. The set of possible outcomes in the process of government formation is then calculated on the basis of both the fuzzy Pareto set and the fuzzy maximal set, and the predictions are compared with those made by two conventional approaches as well as with the government that was actually formed. The comparison shows that, in most cases, the fuzzy approaches outperform their conventional counterparts.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 200 pp. Englisch.
