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This book offers a timely snapshot of current soft-computing
research and solutions to decision-making and optimization
problems, which are ubiquitous in the current social and
technological context, addressing fields including logistics,
transportation and data analysis. Written by leading international
experts from the United States, Brazil and Cuba, as well as the
United Kingdom, France, Finland and Spain, it discusses theoretical
developments in and practical applications of soft computing in
fields where these methods are crucial to obtaining better models,
including: intelligent transportation systems, maritime logistics,
portfolio selection, decision- making, fuzzy cognitive maps, and
fault detection. The book is dedicated to Professor Jose L.
Verdegay, a pioneer who has been actively pursuing research in
fuzzy sets theory and soft computing since 1982, in honor of his
65th birthday.
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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - 17th International Conference, IPMU 2018, Cadiz, Spain, June 11-15, 2018, Proceedings, Part II (Paperback, 1st ed. 2018)
Jesus Medina, Manuel Ojeda-Aciego, Jose-Luis Verdegay, David A. Pelta, Inma P. Cabrera, …
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R2,933
Discovery Miles 29 330
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Ships in 10 - 15 working days
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This three volume set (CCIS 853-855) constitutes the proceedings of
the 17th International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems, IPMU 2017,
held in Cadiz, Spain, in June 2018. The 193 revised full papers
were carefully reviewed and selected from 383 submissions. The
papers are organized in topical sections on advances on explainable
artificial intelligence; aggregation operators, fuzzy metrics and
applications; belief function theory and its applications; current
techniques to model, process and describe time series; discrete
models and computational intelligence; formal concept analysis and
uncertainty; fuzzy implication functions; fuzzy logic and
artificial intelligence problems; fuzzy mathematical analysis and
applications; fuzzy methods in data mining and knowledge discovery;
fuzzy transforms: theory and applications to data analysis and
image processing; imprecise probabilities: foundations and
applications; mathematical fuzzy logic, mathematical morphology;
measures of comparison and entropies for fuzzy sets and their
extensions; new trends in data aggregation; pre-aggregation
functions and generalized forms of monotonicity; rough and fuzzy
similarity modelling tools; soft computing for decision making in
uncertainty; soft computing in information retrieval and sentiment
analysis; tri-partitions and uncertainty; decision making modeling
and applications; logical methods in mining knowledge from big
data; metaheuristics and machine learning; optimization models for
modern analytics; uncertainty in medicine; uncertainty in
Video/Image Processing (UVIP).
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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - 17th International Conference, IPMU 2018, Cadiz, Spain, June 11-15, 2018, Proceedings, Part I (Paperback, 1st ed. 2018)
Jesus Medina, Manuel Ojeda-Aciego, Jose-Luis Verdegay, David A. Pelta, Inma P. Cabrera, …
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R3,191
Discovery Miles 31 910
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Ships in 10 - 15 working days
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This three volume set (CCIS 853-855) constitutes the proceedings of
the 17th International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems, IPMU 2017,
held in Cadiz, Spain, in June 2018. The 193 revised full papers
were carefully reviewed and selected from 383 submissions. The
papers are organized in topical sections on advances on explainable
artificial intelligence; aggregation operators, fuzzy metrics and
applications; belief function theory and its applications; current
techniques to model, process and describe time series; discrete
models and computational intelligence; formal concept analysis and
uncertainty; fuzzy implication functions; fuzzy logic and
artificial intelligence problems; fuzzy mathematical analysis and
applications; fuzzy methods in data mining and knowledge discovery;
fuzzy transforms: theory and applications to data analysis and
image processing; imprecise probabilities: foundations and
applications; mathematical fuzzy logic, mathematical morphology;
measures of comparison and entropies for fuzzy sets and their
extensions; new trends in data aggregation; pre-aggregation
functions and generalized forms of monotonicity; rough and fuzzy
similarity modelling tools; soft computing for decision making in
uncertainty; soft computing in information retrieval and sentiment
analysis; tri-partitions and uncertainty; decision making modeling
and applications; logical methods in mining knowledge from big
data; metaheuristics and machine learning; optimization models for
modern analytics; uncertainty in medicine; uncertainty in
Video/Image Processing (UVIP).
This book is a PhD dissertation which focuses on the study, design,
development and application of centralised cooperative strategies
for optimisation problems. These models consist of a set of
parallel cooperating agents, where each agent carries out a search
in a solution space sharing information with the rest of the
agents. Many studies have shown that this cooperation leads to more
efficient and effective strategies. The authors start describing
the most known trajectory and population-based metaheuristics and
introduce the cooperative strategies. The core of this book is
devoted to the following topics: analysis of the composition and
the cooperation scheme, hybridization with Reactive Search ideas,
application of centralised cooperative strategies to Dynamic
Optimisation Problems and resolution of sets of instances by a
cooperative method. The book is addressed to students or
researchers in the fields of Intelligent Systems, Soft Computing,
Optimisation Techniques and, especially, Hybrid Metaheuristics.
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