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| Author | : Humberto Bustince Sola |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 535 |
| Release | : 2013-06-20 |
| Genre | : Technology & Engineering |
| ISBN | : 3642391656 |
Download Aggregation Functions in Theory and in Practise Book in PDF, ePub and Kindle
This volume collects the extended abstracts of 45 contributions of participants to the Seventh International Summer School on Aggregation Operators (AGOP 2013), held at Pamplona in July, 16-20, 2013. These contributions cover a very broad range, from the purely theoretical ones to those with a more applied focus. Moreover, the summaries of the plenary talks and tutorials given at the same workshop are included. Together they provide a good overview of recent trends in research in aggregation functions which can be of interest to both researchers in Physics or Mathematics working on the theoretical basis of aggregation functions, and to engineers who require them for applications.
| Author | : Vicenç Torra |
| Publisher | : Springer |
| Total Pages | : 288 |
| Release | : 2017-05-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3319593064 |
Download Aggregation Functions in Theory and in Practice Book in PDF, ePub and Kindle
This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed. Aggregation functions are used for data fusion and decision making. Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).
| Author | : Humberto Bustince |
| Publisher | : Springer |
| Total Pages | : 552 |
| Release | : 2013-06-26 |
| Genre | : Computers |
| ISBN | : 9783642391668 |
Download Aggregation Functions in Theory and in Practise Book in PDF, ePub and Kindle
This volume collects the extended abstracts of 45 contributions of participants to the Seventh International Summer School on Aggregation Operators (AGOP 2013), held at Pamplona in July, 16-20, 2013. These contributions cover a very broad range, from the purely theoretical ones to those with a more applied focus. Moreover, the summaries of the plenary talks and tutorials given at the same workshop are included. Together they provide a good overview of recent trends in research in aggregation functions which can be of interest to both researchers in Physics or Mathematics working on the theoretical basis of aggregation functions, and to engineers who require them for applications.
| Author | : Esteban Indurain |
| Publisher | : MDPI |
| Total Pages | : 185 |
| Release | : 2018-09-04 |
| Genre | : Approximation algorithms |
| ISBN | : 3038971235 |
Download New Trends in Fuzzy Set Theory and Related Items Book in PDF, ePub and Kindle
This book is a printed edition of the Special Issue "New Trends in Fuzzy Set Theory and Related Items" that was published in Axioms
| Author | : Gleb Beliakov |
| Publisher | : Springer |
| Total Pages | : 365 |
| Release | : 2015-10-15 |
| Genre | : Technology & Engineering |
| ISBN | : 3319247530 |
Download A Practical Guide to Averaging Functions Book in PDF, ePub and Kindle
This book offers an easy-to-use and practice-oriented reference guide to mathematical averages. It presents different ways of aggregating input values given on a numerical scale, and of choosing and/or constructing aggregating functions for specific applications. Building on a previous monograph by Beliakov et al. published by Springer in 2007, it outlines new aggregation methods developed in the interim, with a special focus on the topic of averaging aggregation functions. It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions. A substantial mathematical background is not called for, as all the relevant mathematical notions are explained here and reported on together with a wealth of graphical illustrations of distinct families of aggregation functions. The authors mainly focus on practical applications and give central importance to the conciseness of exposition, as well as the relevance and applicability of the reported methods, offering a valuable resource for computer scientists, IT specialists, mathematicians, system architects, knowledge engineers and programmers, as well as for anyone facing the issue of how to combine various inputs into a single output value.
| Author | : Vicenc Torra |
| Publisher | : Springer |
| Total Pages | : 260 |
| Release | : 2015-08-31 |
| Genre | : Computers |
| ISBN | : 3319232401 |
Download Modeling Decisions for Artificial Intelligence Book in PDF, ePub and Kindle
This book constitutes the proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, held in Skövde, Sweden, in September 2015. The 18 revised full papers presented were carefully reviewed and selected from 38 submissions. They discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.
| Author | : Simon James |
| Publisher | : Springer |
| Total Pages | : 205 |
| Release | : 2016-11-07 |
| Genre | : Computers |
| ISBN | : 331946762X |
Download An Introduction to Data Analysis using Aggregation Functions in R Book in PDF, ePub and Kindle
This textbook helps future data analysts comprehend aggregation function theory and methods in an accessible way, focusing on a fundamental understanding of the data and summarization tools. Offering a broad overview of recent trends in aggregation research, it complements any study in statistical or machine learning techniques. Readers will learn how to program key functions in R without obtaining an extensive programming background. Sections of the textbook cover background information and context, aggregating data with averaging functions, power means, and weighted averages including the Borda count. It explains how to transform data using normalization or scaling and standardization, as well as log, polynomial, and rank transforms. The section on averaging with interaction introduces OWS functions and the Choquet integral, simple functions that allow the handling of non-independent inputs. The final chapters examine software analysis with an emphasis on parameter identification rather than technical aspects. This textbook is designed for students studying computer science or business who are interested in tools for summarizing and interpreting data, without requiring a strong mathematical background. It is also suitable for those working on sophisticated data science techniques who seek a better conception of fundamental data aggregation. Solutions to the practice questions are included in the textbook.
| Author | : Jun Liu |
| Publisher | : World Scientific |
| Total Pages | : 1624 |
| Release | : 2018-07-26 |
| Genre | : Computers |
| ISBN | : 9813273240 |
Download Data Science and Knowledge Engineering for Sensing Decision Support Book in PDF, ePub and Kindle
FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.
| Author | : Radomír Halaš |
| Publisher | : Springer |
| Total Pages | : 348 |
| Release | : 2019-05-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3030194949 |
Download New Trends in Aggregation Theory Book in PDF, ePub and Kindle
This book collects the contributions presented at AGOP 2019, the 10th International Summer School on Aggregation Operators, which took place in Olomouc (Czech Republic) in July 2019. It includes contributions on topics ranging from the theory and foundations of aggregation functions to their various applications. Aggregation functions have numerous applications, including, but not limited to, data fusion, statistics, image processing, and decision-making. They are usually defined as those functions that are monotone with respect to each input and that satisfy various natural boundary conditions. In particular settings, these conditions might be relaxed or otherwise customized according to the user’s needs. Noteworthy classes of aggregation functions include means, t-norms and t-conorms, uninorms and nullnorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals). This book provides a valuable overview of recent research trends in this area.
| Author | : Anne Laurent |
| Publisher | : Springer |
| Total Pages | : 585 |
| Release | : 2014-07-17 |
| Genre | : Computers |
| ISBN | : 3319088521 |
Download Information Processing and Management of Uncertainty Book in PDF, ePub and Kindle
These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.
