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This book provides a new modeling approach for portfolio optimization problems involving a lack of sufficient historical data. The content mainly reflects the author’s extensive work on uncertainty portfolio optimization in recent years. Considering security returns as different variables, the book presents a series of portfolio optimization models in the framework of credibility theory, uncertainty theory and chance theory, respectively. As such, it offers readers a comprehensive and up-to-date guide to uncertain portfolio optimization models.
This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case. In order to rationally deal with belief degrees, uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of axiomatic mathematics for modeling belief degrees. This is an introductory textbook on uncertainty theory, uncertain programming, uncertain statistics, uncertain risk analysis, uncertain reliability analysis, uncertain set, uncertain logic, uncertain inference, uncertain process, uncertain calculus, and uncertain differential equation. This textbook also shows applications of uncertainty theory to scheduling, logistics, networks, data mining, control, and finance.
The casebook aims at providing the latest case materials for researchers and students who are keen to learn about the consumerization and transformation effects of digital technology.It is one of the first books covering the best practices of digital enablement in China, which has been the focus many observers among the practitioners as well as academics.The 22 projects analyzed include Zhongguancun InnoWay, OFO Bicycle, Esheke, Taobao, and more.
Zhao Mengfu has enormous significance for Chinese art history. This work presents a new, synthetic portrait of the artist's development from the 1280s to his death in 1322, and evaluates his pivotal role in the social-political context in Yuan China as well as the development of the artist's self-consciousness. Shane McCausland's study features detailed interpretations of pictorial forms in light of historical changes, and close readings of critical colophons, many of whic are appended to artworks but neglected as visual sources. These readings are meant to stimulate visual analysis of the oeuvre as well as debate about the use of Tang (618-907) and other period modes as models for the 'Yuan...
As a traditional healing art that has established a contemporary global presence, Chinese medicine defies categories and raises many interesting questions. If Chinese medicine is "traditional," why has it not disappeared with the rest of traditional Chinese society? If, as some claim, it is a science, what does that imply about what we call science? What is the secret of Chinese medicine's remarkable adaptability that has allowed it to prosper for more than 2,000 years? In Chinese Medicine in Contemporary China Volker Scheid presents an ethnography of Chinese medicine that seeks to answer these questions, but his ethnography is informed by some atypical approaches. Scheid, a medical anthropo...
Jin Feng proposes that representation of the "new woman" in Communist Chinese fiction of the earlier twentieth century was paradoxically one of the ways in which male writers of the era explored, negotiated, and laid claim to their own emerging identity as "modern" intellectuals.
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This book explores poems, novels, legends, operas and other genres of writing from the Ming Dynasty. It is composed of two parts: the literary history; and comprehensive reference materials based on the compilation of several chronologies. By studying individual literary works, the book analyzes the basic laws of the development of literature during the Ming Dynasty, and explores the influences of people, time, and place on literature from a sociological perspective. In turn, it conducts a contrastive analysis of Chinese and Western literature, based on similar works from the same literary genre and their creative methods. The book also investigates the relationship between literary theory and literary creation practices, including those used at various poetry schools. In closing, it studies the unique aesthetic traits of related works. Sharing valuable insights and perspectives, the book can serve as a role model for future literary history studies. It offers a unique resource for literary researchers, reference guide for students and educators, and lively read for members of the general public.