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In den WarenkorbKartoniert / Broschiert. Zustand: New. Dusan TeodorovicThe increase in practical problems generated by the intensive growth in air transport has necessitated the development of specialised operations research methods and modern computer technology. By combining operational research data f.
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Taschenbuch. Zustand: Neu. Airline Operations Research | Dusan Teodorovic | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2018 | Routledge | EAN 9780415792264 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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In den WarenkorbZustand: New. Contains worked out examples and end of the chapter questions Covers all forms of transportation engineering, including air, rail, and public transit modes Includes modeling and analytical procedures for supporting different aspec.
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In den WarenkorbEinband - fest (Hardcover). Zustand: New. Dusan TeodorovicThe increase in practical problems generated by the intensive growth in air transport has necessitated the development of specialised operations research methods and modern computer technology. By combining operational research data f.
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Zustand: Gut. Zustand: Gut | Seiten: 412 | Sprache: Englisch | Produktart: Bücher | When solving real-life engineering problems, linguistic information is often encountered that is frequently hard to quantify using "classical" mathematical techniques. This linguistic information represents subjective knowledge. Through the assumptions made by the analyst when forming the mathematical model, the linguistic information is often ignored. On the other hand, a wide range of traffic and transportation engineering parameters are characterized by uncertainty, subjectivity, imprecision, and ambiguity. Human operators, dispatchers, drivers, and passengers use this subjective knowledge or linguistic information on a daily basis when making decisions. Decisions about route choice, mode of transportation, most suitable departure time, or dispatching trucks are made by drivers, passengers, or dispatchers. In each case the decision maker is a human. The environment in which a human expert (human controller) makes decisions is most often complex, making it difficult to formulate a suitable mathematical model. Thus, the development of fuzzy logic systems seems justified in such situations. In certain situations we accept linguistic information much more easily than numerical information. In the same vein, we are perfectly capable of accepting approximate numerical values and making decisions based on them. In a great number of cases we use approximate numerical values exclusively. It should be emphasized that the subjective estimates of different traffic parameters differs from dispatcher to dispatcher, driver to driver, and passenger to passenger.
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In den WarenkorbZustand: New. Covers all forms of transportation engineering, including air, rail, road and public transit modes Examines different transportation modes and how to make them sustainable Features a new chapter covering the reliability, resilienc.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - When solving real-life engineering problems, linguistic information is often encountered that is frequently hard to quantify using 'classical' mathematical techniques. This linguistic information represents subjective knowledge. Through the assumptions made by the analyst when forming the mathematical model, the linguistic information is often ignored. On the other hand, a wide range of traffic and transportation engineering parameters are characterized by uncertainty, subjectivity, imprecision, and ambiguity. Human operators, dispatchers, drivers, and passengers use this subjective knowledge or linguistic information on a daily basis when making decisions. Decisions about route choice, mode of transportation, most suitable departure time, or dispatching trucks are made by drivers, passengers, or dispatchers. In each case the decision maker is a human. The environment in which a human expert (human controller) makes decisions is most often complex, making it difficult to formulate a suitable mathematical model. Thus, the development of fuzzy logic systems seems justified in such situations. In certain situations we accept linguistic information much more easily than numerical information. In the same vein, we are perfectly capable of accepting approximate numerical values and making decisions based on them. In a great number of cases we use approximate numerical values exclusively. It should be emphasized that the subjective estimates of different traffic parameters differs from dispatcher to dispatcher, driver to driver, and passenger to passenger.
Sprache: Englisch
Verlag: Taylor & Francis Ltd Apr 2017, 2017
ISBN 10: 041579224X ISBN 13: 9780415792240
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 387 pages. 9.00x6.00x1.00 inches. In Stock.