Beyond Traditional Probabilistic Data Processing Techniques Interval Fuzzy Etc Methods And Their Applications

Author : Olga Kosheleva,Sergey P. Shary,Gang Xiang,Roman Zapatrin
Publisher : Springer Nature
Page : 638 pages
File Size : 44,8 Mb
Release : 2020-02-28
Category : Computers
ISBN : 9783030310417

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Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications by Olga Kosheleva,Sergey P. Shary,Gang Xiang,Roman Zapatrin Pdf

Data processing has become essential to modern civilization. The original data for this processing comes from measurements or from experts, and both sources are subject to uncertainty. Traditionally, probabilistic methods have been used to process uncertainty. However, in many practical situations, we do not know the corresponding probabilities: in measurements, we often only know the upper bound on the measurement errors; this is known as interval uncertainty. In turn, expert estimates often include imprecise (fuzzy) words from natural language such as "small"; this is known as fuzzy uncertainty. In this book, leading specialists on interval, fuzzy, probabilistic uncertainty and their combination describe state-of-the-art developments in their research areas. Accordingly, the book offers a valuable guide for researchers and practitioners interested in data processing under uncertainty, and an introduction to the latest trends and techniques in this area, suitable for graduate students.

Author : Vladik Kreinovich,Nguyen Ngoc Thach,Nguyen Duc Trung,Dang Van Thanh
Publisher : Springer
Page : 1157 pages
File Size : 53,8 Mb
Release : 2018-11-24
Category : Technology & Engineering
ISBN : 9783030042004

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Beyond Traditional Probabilistic Methods in Economics by Vladik Kreinovich,Nguyen Ngoc Thach,Nguyen Duc Trung,Dang Van Thanh Pdf

This book presents recent research on probabilistic methods in economics, from machine learning to statistical analysis. Economics is a very important – and at the same a very difficult discipline. It is not easy to predict how an economy will evolve or to identify the measures needed to make an economy prosper. One of the main reasons for this is the high level of uncertainty: different difficult-to-predict events can influence the future economic behavior. To make good predictions and reasonable recommendations, this uncertainty has to be taken into account. In the past, most related research results were based on using traditional techniques from probability and statistics, such as p-value-based hypothesis testing. These techniques led to numerous successful applications, but in the last decades, several examples have emerged showing that these techniques often lead to unreliable and inaccurate predictions. It is therefore necessary to come up with new techniques for processing the corresponding uncertainty that go beyond the traditional probabilistic techniques. This book focuses on such techniques, their economic applications and the remaining challenges, presenting both related theoretical developments and their practical applications.

Author : Bartłomiej Jacek Kubica
Publisher : Springer
Page : 156 pages
File Size : 43,8 Mb
Release : 2019-03-08
Category : Technology & Engineering
ISBN : 9783030137953

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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems by Bartłomiej Jacek Kubica Pdf

This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems. Further, it presents a comprehensive survey of applications in various branches of robotics, artificial intelligence systems, economics, control theory, dynamical systems theory, and others. Three appendices, on the notation, representation of numbers used as intervals’ endpoints, and sample implementations of the interval data type in several programming languages, round out the coverage.

Author : G. Ranganathan,Youssouf EL Allioui,Selwyn Piramuthu
Publisher : Springer Nature
Page : 921 pages
File Size : 48,5 Mb
Release : 2023-07-19
Category : Technology & Engineering
ISBN : 9789819936083

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Soft Computing for Security Applications by G. Ranganathan,Youssouf EL Allioui,Selwyn Piramuthu Pdf

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2023), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2023. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning, and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.

Author : Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa Babanli,Fahreddin M. Sadikoglu
Publisher : Springer Nature
Page : 803 pages
File Size : 47,5 Mb
Release : 2022-01-04
Category : Technology & Engineering
ISBN : 9783030921279

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11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2021 by Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa Babanli,Fahreddin M. Sadikoglu Pdf

This book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23–24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

Author : Pedro Yobanis Piñero Pérez
Publisher : Springer Nature
Page : 365 pages
File Size : 42,8 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 9783031504952

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Computational Intelligence in Engineering and Project Management by Pedro Yobanis Piñero Pérez Pdf

Author : Boris Goldengorin,Sergei Kuznetsov
Publisher : Springer Nature
Page : 447 pages
File Size : 40,5 Mb
Release : 2023-09-23
Category : Computers
ISBN : 9783031316548

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Data Analysis and Optimization by Boris Goldengorin,Sergei Kuznetsov Pdf

This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.

Author : Subarna Shakya,Klimis Ntalianis,Khaled A. Kamel
Publisher : Springer Nature
Page : 939 pages
File Size : 49,8 Mb
Release : 2022-07-15
Category : Technology & Engineering
ISBN : 9789811920691

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Mobile Computing and Sustainable Informatics by Subarna Shakya,Klimis Ntalianis,Khaled A. Kamel Pdf

This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2022) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 27–28 January 2022. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.

Author : Bernabé Dorronsoro,Lionel Amodeo,Mario Pavone,Patricia Ruiz
Publisher : Springer Nature
Page : 377 pages
File Size : 52,9 Mb
Release : 2021-08-16
Category : Computers
ISBN : 9783030856724

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Optimization and Learning by Bernabé Dorronsoro,Lionel Amodeo,Mario Pavone,Patricia Ruiz Pdf

This volume constitutes the refereed proceedings of the 4th International Conference on Optimization and Learning, OLA 2021, held in Catania, Italy, in June 2021. Due to the COVID-19 pandemic the conference was held online. The 27 full papers were carefully reviewed and selected from 62 submissions. The papers presented in the volume are organized in topical sections on ​synergies between optimization and learning; learning for optimization; machine learning and deep learning; transportation and logistics; optimization; applications of learning and optimization methods.

Author : Zoumpolia Dikopoulou
Publisher : Springer Nature
Page : 174 pages
File Size : 43,5 Mb
Release : 2021-11-06
Category : Business & Economics
ISBN : 9783030814960

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Modeling and Simulating Complex Business Perceptions by Zoumpolia Dikopoulou Pdf

Fuzzy cognitive maps (FCMs) have gained popularity in the scientific community due to their capabilities in modeling and decision making for complex problems.This book presents a novel algorithm called glassoFCM to enable automatic learning of FCM models from data. Specifically, glassoFCM is a combination of two methods, glasso (a technique originated from machine learning) for data modeling and FCM simulation for decision making. The book outlines that glassoFCM elaborates simple, accurate, and more stable models that are easy to interpret and offer meaningful decisions. The research results presented are based on an investigation related to a real-world business intelligence problem to evaluate characteristics that influence employee work readiness.Finally, this book provides readers with a step-by-step guide of the 'fcm' package to execute and visualize their policies and decisions through the FCM simulation process.

Author : Cengiz Kahraman,A. Cagri Tolga,Sezi Cevik Onar,Selcuk Cebi,Basar Oztaysi,Irem Ucal Sari
Publisher : Springer Nature
Page : 781 pages
File Size : 52,6 Mb
Release : 2022-07-01
Category : Technology & Engineering
ISBN : 9783031091766

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Intelligent and Fuzzy Systems by Cengiz Kahraman,A. Cagri Tolga,Sezi Cevik Onar,Selcuk Cebi,Basar Oztaysi,Irem Ucal Sari Pdf

This book presents recent research in intelligent and fuzzy techniques on digital transformation and the new normal, the state to which economies, societies, etc. settle following a crisis bringing us to a new environment. Digital transformation and the new normal-appearing in many areas such as digital economy, digital finance, digital government, digital health, and digital education are the main scope of this book. The readers can benefit from this book for preparing for a digital “new normal” and maintaining a leadership position among competitors in both manufacturing and service companies. Digitizing an industrial company is a challenging process, which involves rethinking established structures, processes, and steering mechanisms presented in this book. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying digital transformation and new normal. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

Author : Shahnaz N. Shahbazova,Janusz Kacprzyk,Valentina Emilia Balas,Vladik Kreinovich
Publisher : Springer Nature
Page : 555 pages
File Size : 54,7 Mb
Release : 2020-07-10
Category : Technology & Engineering
ISBN : 9783030471248

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications by Shahnaz N. Shahbazova,Janusz Kacprzyk,Valentina Emilia Balas,Vladik Kreinovich Pdf

This book gathers authoritative contributions in the field of Soft Computing. Based on selected papers presented at the 7th World Conference on Soft Computing, which was held on May 29–31, 2018, in Baku, Azerbaijan, it describes new theoretical advances, as well as cutting-edge methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and applications in data mining, social networks, control and robotics, geoscience, biomedicine and industrial management are described. This book offers a timely, broad snapshot of recent developments, including thought-provoking trends and challenges that are yielding new research directions in the diverse areas of Soft Computing.

Author : Boris Kovalerchuk
Publisher : Springer Nature
Page : 510 pages
File Size : 47,8 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 9783031465499

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Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery by Boris Kovalerchuk Pdf

Author : Julio C. Urenda,Vladik Kreinovich
Publisher : Springer Nature
Page : 246 pages
File Size : 52,6 Mb
Release : 2022-10-15
Category : Computers
ISBN : 9783031167805

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Algebraic Approach to Data Processing by Julio C. Urenda,Vladik Kreinovich Pdf

The book explores a new general approach to selecting—and designing—data processing techniques. Symmetry and invariance ideas behind this algebraic approach have been successful in physics, where many new theories are formulated in symmetry terms. The book explains this approach and expands it to new application areas ranging from engineering, medicine, education to social sciences. In many cases, this approach leads to optimal techniques and optimal solutions. That the same data processing techniques help us better analyze wooden structures, lung dysfunctions, and deep learning algorithms is a good indication that these techniques can be used in many other applications as well. The book is recommended to researchers and practitioners who need to select a data processing technique—or who want to design a new technique when the existing techniques do not work. It is also recommended to students who want to learn the state-of-the-art data processing.

Author : Boris Kovalerchuk,Kawa Nazemi,Răzvan Andonie,Nuno Datia,Ebad Banissi
Publisher : Springer Nature
Page : 671 pages
File Size : 48,8 Mb
Release : 2022-06-04
Category : Technology & Engineering
ISBN : 9783030931193

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Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery by Boris Kovalerchuk,Kawa Nazemi,Răzvan Andonie,Nuno Datia,Ebad Banissi Pdf

This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain. This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations. The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.