Explainable Neural Networks Based On Fuzzy Logic And Multi Criteria Decision Tools

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

József Dombi,Orsolya Csiszár
Explainable Neural Networks Based on Fuzzy Logic and Multi criteria Decision Tools Book PDF

Author : József Dombi,Orsolya Csiszár
Publisher : Springer Nature
Page : 186 pages
File Size : 53,9 Mb
Release : 2021-04-28
Category : Technology & Engineering
ISBN : 9783030722807

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools by József Dombi,Orsolya Csiszár Pdf

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

Data Science and Intelligent Systems

Radek Silhavy,Petr Silhavy,Zdenka Prokopova
Data Science and Intelligent Systems Book PDF

Author : Radek Silhavy,Petr Silhavy,Zdenka Prokopova
Publisher : Springer Nature
Page : 1073 pages
File Size : 41,8 Mb
Release : 2021-11-16
Category : Technology & Engineering
ISBN : 9783030903213

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Data Science and Intelligent Systems by Radek Silhavy,Petr Silhavy,Zdenka Prokopova Pdf

This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results

Computational Intelligence and Mathematics for Tackling Complex Problems 5

M.Eugenia Cornejo,László T. Kóczy,Jesús Medina,Eloísa Ramírez-Poussa
Computational Intelligence and Mathematics for Tackling Complex Problems 5 Book PDF

Author : M.Eugenia Cornejo,László T. Kóczy,Jesús Medina,Eloísa Ramírez-Poussa
Publisher : Springer Nature
Page : 151 pages
File Size : 46,5 Mb
Release : 2024-01-02
Category : Technology & Engineering
ISBN : 9783031469794

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Computational Intelligence and Mathematics for Tackling Complex Problems 5 by M.Eugenia Cornejo,László T. Kóczy,Jesús Medina,Eloísa Ramírez-Poussa Pdf

This book is focused on connecting two interesting research areas, mathematics and computational intelligence, by means of appealing contributions devoted to give solutions to different challenges of the current technological age. It continues the collection of articles dealing with the important and efficient combination of these both areas, with a stress of fuzzy systems and fuzzy logic. It also includes relevant papers on the development and application of mathematics, artificial intelligence, and automatic reasoning tools to Digital Forensics, which have been developed within the framework of the COST Action DigForASP-CA17124 (digforasp.uca.es).

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Wojciech Samek,Grégoire Montavon,Andrea Vedaldi,Lars Kai Hansen,Klaus-Robert Müller
Explainable AI Interpreting Explaining and Visualizing Deep Learning Book PDF

Author : Wojciech Samek,Grégoire Montavon,Andrea Vedaldi,Lars Kai Hansen,Klaus-Robert Müller
Publisher : Springer Nature
Page : 435 pages
File Size : 40,5 Mb
Release : 2019-09-10
Category : Computers
ISBN : 9783030289546

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Explainable AI: Interpreting, Explaining and Visualizing Deep Learning by Wojciech Samek,Grégoire Montavon,Andrea Vedaldi,Lars Kai Hansen,Klaus-Robert Müller Pdf

The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner. The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.

Explainable and Interpretable Models in Computer Vision and Machine Learning

Hugo Jair Escalante,Sergio Escalera,Isabelle Guyon,Xavier Baró,Yağmur Güçlütürk,Umut Güçlü,Marcel van Gerven
Explainable and Interpretable Models in Computer Vision and Machine Learning Book PDF

Author : Hugo Jair Escalante,Sergio Escalera,Isabelle Guyon,Xavier Baró,Yağmur Güçlütürk,Umut Güçlü,Marcel van Gerven
Publisher : Springer
Page : 299 pages
File Size : 40,7 Mb
Release : 2018-11-29
Category : Computers
ISBN : 9783319981314

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Explainable and Interpretable Models in Computer Vision and Machine Learning by Hugo Jair Escalante,Sergio Escalera,Isabelle Guyon,Xavier Baró,Yağmur Güçlütürk,Umut Güçlü,Marcel van Gerven Pdf

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations

Advances in Computational Intelligence Systems

Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin
Advances in Computational Intelligence Systems Book PDF

Author : Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin
Publisher : Springer Nature
Page : 579 pages
File Size : 50,5 Mb
Release : 2021-11-17
Category : Technology & Engineering
ISBN : 9783030870942

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Advances in Computational Intelligence Systems by Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin Pdf

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.

NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM

S. RAJASEKARAN,G. A. VIJAYALAKSHMI PAI
NEURAL NETWORKS FUZZY LOGIC AND GENETIC ALGORITHM Book PDF

Author : S. RAJASEKARAN,G. A. VIJAYALAKSHMI PAI
Publisher : PHI Learning Pvt. Ltd.
Page : 459 pages
File Size : 45,8 Mb
Release : 2003-01-01
Category : Computers
ISBN : 9788120321861

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NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM by S. RAJASEKARAN,G. A. VIJAYALAKSHMI PAI Pdf

This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.

Machine Learning

Marco Gori
Machine Learning Book PDF

Author : Marco Gori
Publisher : Morgan Kaufmann
Page : 0 pages
File Size : 47,5 Mb
Release : 2017-11-13
Category : Computers
ISBN : 0081006594

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Machine Learning by Marco Gori Pdf

Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based approach followed in this book. This book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, and includes many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.

Fuzzy Modelling

Witold Pedrycz
Fuzzy Modelling Book PDF

Author : Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 399 pages
File Size : 53,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461313656

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Fuzzy Modelling by Witold Pedrycz Pdf

Fuzzy Modelling: Paradigms and Practice provides an up-to-date and authoritative compendium of fuzzy models, identification algorithms and applications. Chapters in this book have been written by the leading scholars and researchers in their respective subject areas. Several of these chapters include both theoretical material and applications. The editor of this volume has organized and edited the chapters into a coherent and uniform framework. The objective of this book is to provide researchers and practitioners involved in the development of models for complex systems with an understanding of fuzzy modelling, and an appreciation of what makes these models unique. The chapters are organized into three major parts covering relational models, fuzzy neural networks and rule-based models. The material on relational models includes theory along with a large number of implemented case studies, including some on speech recognition, prediction, and ecological systems. The part on fuzzy neural networks covers some fundamentals, such as neurocomputing, fuzzy neurocomputing, etc., identifies the nature of the relationship that exists between fuzzy systems and neural networks, and includes extensive coverage of their architectures. The last part addresses the main design principles governing the development of rule-based models. Fuzzy Modelling: Paradigms and Practice provides a wealth of specific fuzzy modelling paradigms, algorithms and tools used in systems modelling. Also included is a panoply of case studies from various computer, engineering and science disciplines. This should be a primary reference work for researchers and practitioners developing models of complex systems.

Fuzzy Logic and Mathematics

Radim Bělohlávek,Joseph W. Dauben,George J. Klir
Fuzzy Logic and Mathematics Book PDF

Author : Radim Bělohlávek,Joseph W. Dauben,George J. Klir
Publisher : Oxford University Press
Page : 545 pages
File Size : 52,6 Mb
Release : 2017
Category : Mathematics
ISBN : 9780190200015

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Fuzzy Logic and Mathematics by Radim Bělohlávek,Joseph W. Dauben,George J. Klir Pdf

The main part of the book is a comprehensive overview of the development of fuzzy logic and its applications in various areas of human affair since its genesis in the mid 1960s. This overview is then employed for assessing the significance of fuzzy logic and mathematics based on fuzzy logic.

Fuzzy Multi-Criteria Decision Making

Cengiz Kahraman
Fuzzy Multi Criteria Decision Making Book PDF

Author : Cengiz Kahraman
Publisher : Springer Science & Business Media
Page : 591 pages
File Size : 52,8 Mb
Release : 2008-08-09
Category : Computers
ISBN : 9780387768137

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Fuzzy Multi-Criteria Decision Making by Cengiz Kahraman Pdf

This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.

Theory and Practice of Natural Computing

David Fagan,Carlos Martín-Vide,Michael O'Neill,Miguel A. Vega-Rodríguez
Theory and Practice of Natural Computing Book PDF

Author : David Fagan,Carlos Martín-Vide,Michael O'Neill,Miguel A. Vega-Rodríguez
Publisher : Springer
Page : 478 pages
File Size : 48,9 Mb
Release : 2018-12-05
Category : Computers
ISBN : 9783030040703

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Theory and Practice of Natural Computing by David Fagan,Carlos Martín-Vide,Michael O'Neill,Miguel A. Vega-Rodríguez Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Theory and Practice of Natural Computing, TPNC 2017, held in Dublin, Ireland, in December 2018. The 35 full papers presented in this book, together with one invited talk, were carefully reviewed and selected from 69 submissions. The papers are organized around the following topical sections: applications of natural computing as algorithms, bioinformatics, control, cryptography, design, economics. The more theoretical contributions handle with artificial chemistry, artificial immune systems, artificial life, cellular automata, cognitive computing, cognitive engineering, cognitive robotics, collective behaviour, complex systems, computational intelligence, computational social science, computing with words, developmental systems, DNA computing, DNA nanotechnology, evolutionary algorithms, evolutionary computing, evolutionary game theory, fractal geometry, fuzzy control, fuzzy logic, fuzzy sets, fuzzy systems, genetic algorithms, genetic programming, granular computing, heuristics, intelligent agents, intelligent systems, machine intelligence, molecular programming, neural computing, neural networks, quantum communication, quantum computing, rough sets, self-assembly.

Machine Learning and Artificial Intelligence

A.J. Tallón-Ballesteros,C.-H. Chen
Machine Learning and Artificial Intelligence Book PDF

Author : A.J. Tallón-Ballesteros,C.-H. Chen
Publisher : IOS Press
Page : 482 pages
File Size : 43,8 Mb
Release : 2020-12-15
Category : Computers
ISBN : 9781643681375

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Machine Learning and Artificial Intelligence by A.J. Tallón-Ballesteros,C.-H. Chen Pdf

Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.

Advances in Multicriteria Analysis

Panos M. Pardalos,Y. Siskos,Constantin Zopounidis
Advances in Multicriteria Analysis Book PDF

Author : Panos M. Pardalos,Y. Siskos,Constantin Zopounidis
Publisher : Springer Science & Business Media
Page : 250 pages
File Size : 44,5 Mb
Release : 2013-03-14
Category : Business & Economics
ISBN : 9781475723830

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Advances in Multicriteria Analysis by Panos M. Pardalos,Y. Siskos,Constantin Zopounidis Pdf

As its title implies, Advances in Multicriteria Analysis presents the most recent developments in multicriteria analysis and in some of its principal areas of application, including marketing, research and development evaluation, financial planning, and medicine. Special attention is paid to the interaction between multicriteria analysis, decision support systems and preference modeling. The five sections of the book cover: methodology; problem structuring; utility assessment; multi-objective optimisation; real world applications. Audience: Researchers and professionals who are operations researchers, management scientists, computer scientists, statisticians, decision analysts, marketing managers and financial analysts.

Knowledge-Based Systems

Rajendra Akerkar,Priti Sajja
Knowledge Based Systems Book PDF

Author : Rajendra Akerkar,Priti Sajja
Publisher : Jones & Bartlett Publishers
Page : 375 pages
File Size : 40,6 Mb
Release : 2009-08-25
Category : Computers
ISBN : 9781449662707

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Knowledge-Based Systems by Rajendra Akerkar,Priti Sajja Pdf

A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of knowledge-based techniques for decision support and planning. It assumes basic computer science skills and a math background that includes set theory, relations, elementary probability, and introductory concepts of artificial intelligence. Each of the 12 chapters is designed to be modular, providing instructors with the flexibility to model the book to their own course needs. Exercises are incorporated throughout the text to highlight certain aspects of the material presented and to simulate thought and discussion. A comprehensive text and resource, Knowledge-Based Systems provides access to the most current information in KBS and new artificial intelligences, as well as neural networks, fuzzy logic, genetic algorithms, and soft systems.