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Demonstrates China's reform and opening-up and formation of BRI A
full pictory of the backstory, concept and framework of BRI
Includes China's nternational action plans relevant and similar to
the BRI Covers case studies of the BRI implementation and promotion
132 entries in total reflect the latest progress, with 19 new
entries added and 14 updated compared to the first edition
This volume is a collection of papers presented at the
international conference on Nonlinear Mathematics for Uncertainty
and Its Applications (NLMUA2011), held at Beijing University of
Technology during the week of September 7--9, 2011. The conference
brought together leading researchers and practitioners involved
with all aspects of nonlinear mathematics for uncertainty and its
applications. Over the last fifty years there have been many
attempts in extending the theory of classical probability and
statistical models to the generalized one which can cope with
problems of inference and decision making when the model-related
information is scarce, vague, ambiguous, or incomplete. Such
attempts include the study of nonadditive measures and their
integrals, imprecise probabilities and random sets, and their
applications in information sciences, economics, finance,
insurance, engineering, and social sciences. The book presents
topics including nonadditive measures and nonlinear integrals,
Choquet, Sugeno and other types of integrals, possibility theory,
Dempster-Shafer theory, random sets, fuzzy random sets and related
statistics, set-valued and fuzzy stochastic processes, imprecise
probability theory and related statistical models, fuzzy
mathematics, nonlinear functional analysis, information theory,
mathematical finance and risk managements, decision making under
various types of uncertainty, and others.
For advanced web search engines to be able not only to search for
semantically related information dispersed over different web
pages, but also for semantic services providing certain
functionalities, discovering semantic services is the key issue.
Addressing four problems of current solution, this book presents
the following contributions. A novel service model independent of
semantic service description models is proposed, which clearly
defines all elements necessary for service discovery and selection.
It takes service selection as its gist and improves efficiency.
Corresponding selection algorithms and their implementation as
components of the extended Semantically Enabled Service-oriented
Architecture in the Web Service Modeling Environment are detailed.
Many applications of semantic web services, e.g. discovery,
composition and mediation, can benefit from a general approach for
building application ontologies. With application ontologies thus
built, services are discovered in the same way as with single
domain ontologies, and the mediation problem between service
ontologies is solved. Further, an ontology-based approach to
improve service discovery is proposed and validated. Within the
service model, a service selection approach oriented at quality
criteria is proposed. It normalises diverse qualities of a service
in their respective metrics and employs a service selection
algorithm based on soundness.
For advanced web search engines to be able not only to search for
semantically related information dispersed over different web
pages, but also for semantic services providing certain
functionalities, discovering semantic services is the key issue.
Addressing four problems of current solution, this book presents
the following contributions. A novel service model independent of
semantic service description models is proposed, which clearly
defines all elements necessary for service discovery and selection.
It takes service selection as its gist and improves efficiency.
Corresponding selection algorithms and their implementation as
components of the extended Semantically Enabled Service-oriented
Architecture in the Web Service Modeling Environment are detailed.
Many applications of semantic web services, e.g. discovery,
composition and mediation, can benefit from a general approach for
building application ontologies. With application ontologies thus
built, services are discovered in the same way as with single
domain ontologies, and the mediation problem between service
ontologies is solved. Further, an ontology-based approach to
improve service discovery is proposed and validated. Within the
service model, a service selection approach oriented at quality
criteria is proposed. It normalises diverse qualities of a service
in their respective metrics and employs a service selection
algorithm based on soundness.
This volume is a collection of papers presented at the
international conference on Nonlinear Mathematics for Uncertainty
and Its Applications (NLMUA2011), held at Beijing University of
Technology during the week of September 7--9, 2011. The conference
brought together leading researchers and practitioners involved
with all aspects of nonlinear mathematics for uncertainty and its
applications. Over the last fifty years there have been many
attempts in extending the theory of classical probability and
statistical models to the generalized one which can cope with
problems of inference and decision making when the model-related
information is scarce, vague, ambiguous, or incomplete. Such
attempts include the study of nonadditive measures and their
integrals, imprecise probabilities and random sets, and their
applications in information sciences, economics, finance,
insurance, engineering, and social sciences. The book presents
topics including nonadditive measures and nonlinear integrals,
Choquet, Sugeno and other types of integrals, possibility theory,
Dempster-Shafer theory, random sets, fuzzy random sets and related
statistics, set-valued and fuzzy stochastic processes, imprecise
probability theory and related statistical models, fuzzy
mathematics, nonlinear functional analysis, information theory,
mathematical finance and risk managements, decision making under
various types of uncertainty, and others.
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