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IoT as a Service - 5th EAI International Conference, IoTaaS 2019, Xi'an, China, November 16-17, 2019, Proceedings... IoT as a Service - 5th EAI International Conference, IoTaaS 2019, Xi'an, China, November 16-17, 2019, Proceedings (Paperback, 1st ed. 2020)
Bo Li, Jie Zheng, Yong Fang, Mao Yang, Zhongjiang Yan
R1,507 Discovery Miles 15 070 Ships in 18 - 22 working days

This book constitutes the refereed post-conference proceedings of the Fifth International Conference on IoT as a Service, IoTaaS 2019, which took place in Xi'an, China, in November 2019. The 54 revised full papers were carefully reviewed and selected from 106 submissions. The papers contribute to the discussion on the challenges posed by Internet of Things (Io). The two technical tracks and three workshops deal in detail: Networking and Communications Technologies for IoT, IoT as a service, International Workshop on Edge Intelligence and Computing for IoT Communications and Applications, International Workshop on Wireless Automated Networking for Internet of Things, and International Workshop on Ubiquitous Services Transmission for Internet of Things.

Fuzzy Portfolio Optimization - Theory and Methods (Paperback, 2008 ed.): Yong Fang, Kin Keung Lai, Shouyang Wang Fuzzy Portfolio Optimization - Theory and Methods (Paperback, 2008 ed.)
Yong Fang, Kin Keung Lai, Shouyang Wang
R1,434 Discovery Miles 14 340 Ships in 18 - 22 working days

Most of the existing portfolio selection models are based on the probability theory. Though they often deal with the uncertainty via probabilistic - proaches, we have to mention that the probabilistic approaches only partly capture the reality. Some other techniques have also been applied to handle the uncertainty of the ?nancial markets, for instance, the fuzzy set theory [Zadeh (1965)]. In reality, many events with fuzziness are characterized by probabilistic approaches, although they are not random events. The fuzzy set theory has been widely used to solve many practical problems, including ?nancial risk management. By using fuzzy mathematical approaches, quan- tative analysis, qualitative analysis, the experts' knowledge and the investors' subjective opinions can be better integrated into a portfolio selection model. The contents of this book mainly comprise of the authors' research results for fuzzy portfolio selection problems in recent years. In addition, in the book, the authors will also introduce some other important progress in the ?eld of fuzzy portfolio optimization. Some fundamental issues and problems of po- folioselectionhavebeenstudiedsystematicallyandextensivelybytheauthors to apply fuzzy systems theory and optimization methods. A new framework for investment analysis is presented in this book. A series of portfolio sel- tion models are given and some of them might be more e?cient for practical applications. Some application examples are given to illustrate these models by using real data from the Chinese securities markets.

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