| 書目名稱 | Traffic Control and Transport Planning: | | 副標(biāo)題 | A Fuzzy Sets and Neu | | 編輯 | Du?an Teodorovi?,Katarina Vukadinovi? | | 視頻video | http://file.papertrans.cn/928/927533/927533.mp4 | | 叢書名稱 | International Series in Intelligent Technologies | | 圖書封面 |  | | 描述 | 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 infor | | 出版日期 | Book 1998 | | 關(guān)鍵詞 | artificial neural network; neural networks; set theory; traffic; transport; transport planning; transporta | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-011-4403-2 | | isbn_softcover | 978-94-010-5892-6 | | isbn_ebook | 978-94-011-4403-2Series ISSN 1382-3434 | | issn_series | 1382-3434 | | copyright | Kluwer Academic Publishers 1998 |
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