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Fuzzy Logic for Planning and Decision Making - Freerk A. Lootsma
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Freerk A. Lootsma:

Fuzzy Logic for Planning and Decision Making - libro nuevo

ISBN: 9780792346814

[ED: Buch], [PU: Springer US], Neuware - Thisvolume starts with the basicconceptsof FuzzyLogic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and t… Más…

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Fuzzy Logic für Planung und Entscheidungsfindung Angewandte Optimierung - libro nuevo

ISBN: 0792346815

They are not actual photos of the physical item for sale and should not be relied upon as a basis for edition or condition. Publisher: Springer. Pages: 208. Brand New, Festpreisangebot, [… Más…

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Freerk A. Lootsma:
Fuzzy Logic for Planning and Decision Making - encuadernado, tapa blanda

1997

ISBN: 9780792346814

Springer, 1997. Hardcover. Good. Former library book. Slight signs of wear on the cover. Edition 1997. Ammareal gives back up to 15% of this book's net price to charity organizations., … Más…

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Freerk A. Lootsma:
Fuzzy Logic for Planning and Decision Making - encuadernado, tapa blanda

1997, ISBN: 0792346815

[EAN: 9780792346814], Nouveau livre, [SC: 3.44], [PU: Springer], PRINT ON DEMAND Book; New; Fast Shipping from the UK., Books

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Lootsma, Freerk A.:
Fuzzy Logic for Planning and Decision Making: 8 (Applied Optimization, 8) - encuadernado, tapa blanda

ISBN: 9780792346814

Hardback. Very Good., 3

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Detalles del libro
Fuzzy Logic for Planning and Decision Making (Applied Optimization, 8, Band 8)

This book starts with the basic concepts of Fuzzy Logic: the membership function, the intersection and the union of fuzzy sets, fuzzy numbers, and the extension principle underlying the algorithmic operations. Several chapters are devoted to applications of Fuzzy Logic in Operations Research: PERT planning with uncertain activity durations, Multi-Criteria Decision Analysis (MCDA) with vague preferential statements, and Multi-Objective Optimization (MOO) with weighted degrees of satisfaction. New items are: Fuzzy PERT using activity durations with triangular membership functions, Fuzzy SMART with a sensitivity analysis based upon Fuzzy Logic, the Additive and the Multiplicative AHP with a similar feature, ELECTRE using the ideas of the AHP and SMART, and a comparative study of the ideal-point methods for MOO. Finally, earlier studies of colour perception illustrate the attempts to find a physiological basis for the set-theoretical and the algorithmic operations in Fuzzy Logic. The last chapter also discusses some key issues in linguistic categorization and the prospects of Fuzzy Logic as a multi-disciplinary research activity. Audience: Researchers and students working in applied mathematics, operations research, management science, business administration, econometrics, industrial engineering, information systems, artificial intelligence, mathematical psychology, and psycho-physics.

Detalles del libro - Fuzzy Logic for Planning and Decision Making (Applied Optimization, 8, Band 8)


EAN (ISBN-13): 9780792346814
ISBN (ISBN-10): 0792346815
Tapa dura
Tapa blanda
Año de publicación: 1997
Editorial: Springer
212 Páginas
Peso: 0,479 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-10-25T11:47:08-05:00 (Mexico City)
Página de detalles modificada por última vez el 2023-09-22T04:31:18-06:00 (Mexico City)
ISBN/EAN: 9780792346814

ISBN - escritura alterna:
0-7923-4681-5, 978-0-7923-4681-4
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: lootsma, loots, freerk
Título del libro: fuzzy logic, decision making


Datos del la editorial

Autor: Freerk A. Lootsma
Título: Applied Optimization; Fuzzy Logic for Planning and Decision Making
Editorial: Springer; Springer US
198 Páginas
Año de publicación: 1997-08-31
New York; NY; US
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
X, 198 p.

BB; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Wirtschaftsmathematik und -informatik, IT-Management; Verstehen; Analysis; algorithms; artificial intelligence; fuzzy logic; fuzzy set; multi-criteria decision analysis; multi-objective optimization; operations research; optimization; sets; Business Mathematics; Artificial Intelligence; Operations Research, Management Science; Mathematical Logic and Foundations; Operations Research and Decision Theory; Mathematical Modeling and Industrial Mathematics; Künstliche Intelligenz; Unternehmensforschung; Mathematik: Logik; Mathematische Grundlagen; Management: Entscheidungstheorie; Mathematische Modellierung; Mathematik für Ingenieure; BC

1 Introduction.- 2 Basic concepts of fuzzy logic.- 3 Stochastic and fuzzy PERT.- 4 Fuzzy SMART.- 5 The Additive and the Multiplicative AHP.- 6 The ELECTRE systems.- 7 Fuzzy Multi-Objective Optimization.- 8 Colour perception.- About the author.

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