Fuzzy Evidence In Identification Forecasting And Diagnosis

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Fuzzy Evidence in Identification, Forecasting and Diagnosis

Alexander P. Rotshtein,Hanna B. Rakytyanska
Fuzzy Evidence in Identification Forecasting and Diagnosis Book PDF

Author : Alexander P. Rotshtein,Hanna B. Rakytyanska
Publisher : Springer
Page : 313 pages
File Size : 40,6 Mb
Release : 2012-02-01
Category : Computers
ISBN : 3642257879

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Fuzzy Evidence in Identification, Forecasting and Diagnosis by Alexander P. Rotshtein,Hanna B. Rakytyanska Pdf

The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving. The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis.

Fuzzy Evidence in Identification, Forecasting and Diagnosis

Alexander P. Rotshtein,Hanna B. Rakytyanska
Fuzzy Evidence in Identification Forecasting and Diagnosis Book PDF

Author : Alexander P. Rotshtein,Hanna B. Rakytyanska
Publisher : Springer
Page : 313 pages
File Size : 40,8 Mb
Release : 2012-01-26
Category : Technology & Engineering
ISBN : 9783642257865

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Fuzzy Evidence in Identification, Forecasting and Diagnosis by Alexander P. Rotshtein,Hanna B. Rakytyanska Pdf

The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving. The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis.

Lecture Notes in Computational Intelligence and Decision Making

Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Lecture Notes in Computational Intelligence and Decision Making Book PDF

Author : Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya
Publisher : Springer
Page : 715 pages
File Size : 50,7 Mb
Release : 2019-07-23
Category : Technology & Engineering
ISBN : 9783030264741

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Lecture Notes in Computational Intelligence and Decision Making by Volodymyr Lytvynenko,Sergii Babichev,Waldemar Wójcik,Olena Vynokurova,Svetlana Vyshemyrskaya,Svetlana Radetskaya Pdf

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Green IT Engineering: Social, Business and Industrial Applications

Vyacheslav Kharchenko,Yuriy Kondratenko,Janusz Kacprzyk
Green IT Engineering Social Business and Industrial Applications Book PDF

Author : Vyacheslav Kharchenko,Yuriy Kondratenko,Janusz Kacprzyk
Publisher : Springer
Page : 604 pages
File Size : 40,6 Mb
Release : 2018-09-29
Category : Technology & Engineering
ISBN : 9783030002534

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Green IT Engineering: Social, Business and Industrial Applications by Vyacheslav Kharchenko,Yuriy Kondratenko,Janusz Kacprzyk Pdf

This book describes the implementation of green IT in various human and industrial domains. Consisting of four sections: “Development and Optimization of Green IT”, “Modelling and Experiments with Green IT Systems”, “Industry and Transport Green IT Systems”, “Social, Educational and Business Aspects of Green IT”, it presents results in two areas – the green components, networks, cloud and IoT systems and infrastructures; and the industry, business, social and education domains. It discusses hot topics such as programmable embedded and mobile systems, sustainable software and data centers, Internet servicing and cyber social computing, assurance cases and lightweight cryptography in context of green IT. Intended for university students, lecturers and researchers who are interested in power saving and sustainable computing, the book also appeals to engineers and managers of companies that develop and implement energy efficient IT applications.

Advancements in Fuzzy Reliability Theory

Kumar, Akshay,Ram, Mangey,Prakash Yadav, Om
Advancements in Fuzzy Reliability Theory Book PDF

Author : Kumar, Akshay,Ram, Mangey,Prakash Yadav, Om
Publisher : IGI Global
Page : 322 pages
File Size : 54,9 Mb
Release : 2021-02-12
Category : Mathematics
ISBN : 9781799875666

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Advancements in Fuzzy Reliability Theory by Kumar, Akshay,Ram, Mangey,Prakash Yadav, Om Pdf

In recent years, substantial efforts are being made in the development of reliability theory including fuzzy reliability theories and their applications to various real-life problems. Fuzzy set theory is widely used in decision making and multi criteria such as management and engineering, as well as other important domains in order to evaluate the uncertainty of real-life systems. Fuzzy reliability has proven to have effective tools and techniques based on real set theory for proposed models within various engineering fields, and current research focuses on these applications. Advancements in Fuzzy Reliability Theory introduces the concept of reliability fuzzy set theory including various methods, techniques, and algorithms. The chapters present the latest findings and research in fuzzy reliability theory applications in engineering areas. While examining the implementation of fuzzy reliability theory among various industries such as mining, construction, automobile, engineering, and more, this book is ideal for engineers, practitioners, researchers, academicians, and students interested in fuzzy reliability theory applications in engineering areas.

Fuzzy Semirings with Applications to Automata Theory

Javed Ahsan,John N. Mordeson,Muhammad Shabir
Fuzzy Semirings with Applications to Automata Theory Book PDF

Author : Javed Ahsan,John N. Mordeson,Muhammad Shabir
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 48,7 Mb
Release : 2012-03-14
Category : Computers
ISBN : 9783642276408

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Fuzzy Semirings with Applications to Automata Theory by Javed Ahsan,John N. Mordeson,Muhammad Shabir Pdf

The purpose of this book is to present an up to date account of fuzzy ideals of a semiring. The book concentrates on theoretical aspects and consists of eleven chapters including three invited chapters. Among the invited chapters, two are devoted to applications of Semirings to automata theory, and one deals with some generalizations of Semirings. This volume may serve as a useful hand book for graduate students and researchers in the areas of Mathematics and Theoretical Computer Science.

Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Lotfi A. Zadeh,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat,Vladik Kreinovich
Recent Developments and the New Direction in Soft Computing Foundations and Applications Book PDF

Author : Lotfi A. Zadeh,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat,Vladik Kreinovich
Publisher : Springer
Page : 649 pages
File Size : 55,6 Mb
Release : 2018-05-28
Category : Technology & Engineering
ISBN : 9783319754086

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications by Lotfi A. Zadeh,Ronald R. Yager,Shahnaz N. Shahbazova,Marek Z. Reformat,Vladik Kreinovich Pdf

This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.

Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems

Witold Pedrycz,Shyi-Ming Chen
Advancements in Knowledge Distillation Towards New Horizons of Intelligent Systems Book PDF

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer Nature
Page : 239 pages
File Size : 54,7 Mb
Release : 2023-07-15
Category : Technology & Engineering
ISBN : 9783031320958

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Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems by Witold Pedrycz,Shyi-Ming Chen Pdf

The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Information Processing and Management of Uncertainty in Knowledge Based Systems Theory and Foundations Book PDF

Author : Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager
Publisher : Springer
Page : 773 pages
File Size : 48,7 Mb
Release : 2018-05-30
Category : Computers
ISBN : 9783319914763

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations by Jesús Medina,Manuel Ojeda-Aciego,José Luis Verdegay,David A. Pelta,Inma P. Cabrera,Bernadette Bouchon-Meunier,Ronald R. Yager Pdf

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 Cádiz, 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).

Issues and Challenges in Artificial Intelligence

Zdzisław S. Hippe,Juliusz L. Kulikowski,Teresa Mroczek,Jerzy Wtorek
Issues and Challenges in Artificial Intelligence Book PDF

Author : Zdzisław S. Hippe,Juliusz L. Kulikowski,Teresa Mroczek,Jerzy Wtorek
Publisher : Springer
Page : 182 pages
File Size : 41,5 Mb
Release : 2014-06-03
Category : Technology & Engineering
ISBN : 9783319068831

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Issues and Challenges in Artificial Intelligence by Zdzisław S. Hippe,Juliusz L. Kulikowski,Teresa Mroczek,Jerzy Wtorek Pdf

The importance of human-computer system interaction problems is increasing due to the growing expectations of users on general computer systems capabilities in human work and life facilitation. Users expect system which is not only a passive tool in human hands but rather an active partner equipped with a sort of artificial intelligence, having access to large information resources, being able to adapt its behavior to the human requirements and to collaborate with the human users. This book collects examples of recent human-computer system solutions. The content of the book is divided into three parts. Part I is devoted to detection, recognition and reasoning in different circumstances and applications. Problems associated with data modeling, acquisition and mining are presented by papers collected in part II and part III is devoted to Optimization.

Recent Developments in Automatic Control Systems

Yuriy P. Kondratenko,Vsevolod M. Kuntsevich,Arkadii A. Chikrii,Vyacheslav F. Gubarev
Recent Developments in Automatic Control Systems Book PDF

Author : Yuriy P. Kondratenko,Vsevolod M. Kuntsevich,Arkadii A. Chikrii,Vyacheslav F. Gubarev
Publisher : CRC Press
Page : 490 pages
File Size : 53,6 Mb
Release : 2023-01-30
Category : Technology & Engineering
ISBN : 9781000795608

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Recent Developments in Automatic Control Systems by Yuriy P. Kondratenko,Vsevolod M. Kuntsevich,Arkadii A. Chikrii,Vyacheslav F. Gubarev Pdf

This monograph provides an overview of the recent developments in modern control systems including new theoretical findings and successful examples of practical implementation of the control theory in different areas of industrial and special applications. Recent Developments in Automatic Control Systems consists of extended versions of selected papers presented at the XXVI International Conference on Automatic Control "Automation 2020" (October 13–15, 2020, Kyiv, Ukraine) which is the main Ukrainian Control Conference organized by the Ukrainian Association on Automatic Control (national member organization of IFAC) and the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute". This is the third monograph in the River Publishers series in Automation, Control and Robotics based on the selected papers of the Ukrainian Control Conferences "Automation", in particular, the first monograph Control Systems: Theory and Applications (2018) was published based on "Automation – 2017" and the second monograph Advanced Control Systems: Theory and Applications was based on "Automation – 2018". The monograph is divided into three main parts: (a) Advances in Theoretical Research of Control Systems; (b) Advances in Control Systems Application; (c) Recent Developments in Collaborative Automation. The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in recent developments in modern control systems, robust adaptive systems, optimal control, fuzzy control, motion control, identification, modelling, differential games, evolutionary optimization, reliability control, security control, intelligent robotics and cyber–physical systems.

Advanced Control Systems

Yuriy P. Kondratenko,Vsevolod M. Kuntsevich,Arkadii A. Chikrii,Vyacheslav F. Gubarev
Advanced Control Systems Book PDF

Author : Yuriy P. Kondratenko,Vsevolod M. Kuntsevich,Arkadii A. Chikrii,Vyacheslav F. Gubarev
Publisher : CRC Press
Page : 476 pages
File Size : 43,8 Mb
Release : 2022-09-01
Category : Technology & Engineering
ISBN : 9781000794069

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Advanced Control Systems by Yuriy P. Kondratenko,Vsevolod M. Kuntsevich,Arkadii A. Chikrii,Vyacheslav F. Gubarev Pdf

Advanced Control Systems: Theory and Applications provides an overview of advanced research lines in control systems as well as in design, development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications. It consists of extended versions of the selected papers presented at the XXV International Conference on Automatic Control “Automatics 2018” (September 18-19, 2018, Lviv, Ukraine) which is the main Ukrainian Control Conference organized by Ukrainian Association on Automatic Control (National member organization of IFAC) and Lviv National University “Lvivska Politechnica”. More than 100 papers were presented at the conference with topics including: mathematical problems of control, optimization and game theory; control and identification under uncertainty; automated control of technical, technological and biotechnical objects; controlling the aerospace craft, marine vessels and other moving objects; intelligent control and information processing; mechatronics and robotics; information measuring technologies in automation; automation and IT training of personnel; the Internet of things and the latest technologies. The book is divided into two main parts, the first concerning theory (7 chapters) and the second concerning applications (7 chapters) of advanced control systems. The first part “Advances in Theoretical Research on Automatic Control” consists of theoretical research results which deal with descriptor control impulsive delay systems, motion control in condition of conflict, inverse dynamic models, invariant relations in optimal control, robust adaptive control, bio-inspired algorithms, optimization of fuzzy control systems, and extremal routing problem with constraints and complicated cost functions. The second part “Advances in Control Systems Applications” is based on the chapters which consider different aspects of practical implementation of advanced control systems, in particular, special cases in determining the spacecraft position and attitude using computer vision system, the spacecraft orientation by information from a system of stellar sensors, control synthesis of rotational and spatial spacecraft motion at approaching stage of docking, intelligent algorithms for the automation of complex biotechnical objects, an automatic control system for the slow pyrolysis of organic substances with variable composition, simulation complex of hierarchical systems based on the foresight and cognitive modelling, and advanced identification of impulse processes in cognitive maps. The chapters have been structured to provide an easy-to-follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area. This book may be useful for researchers and students who are interesting in advanced control systems.

Towards an Advanced Modelling of Complex Economic Phenomena

Jaime Gil Aluja,Anna M. Gil-Lafuente
Towards an Advanced Modelling of Complex Economic Phenomena Book PDF

Author : Jaime Gil Aluja,Anna M. Gil-Lafuente
Publisher : Springer
Page : 276 pages
File Size : 44,8 Mb
Release : 2011-11-13
Category : Technology & Engineering
ISBN : 9783642248122

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Towards an Advanced Modelling of Complex Economic Phenomena by Jaime Gil Aluja,Anna M. Gil-Lafuente Pdf

Little by little we are being provided with an arsenal of operative instruments of a non-numerical nature, in the shape of models and algorithms, capable of providing answers to the “aggressions” which our economics and management systems must withstand, coming from an environment full of turmoil. In the work which we are presenting, we dare to propose a set of elements from which we hope arise focuses capable of renewing those structures of economic thought which are upheld by the geometrical idea. The concepts of pretopology and topology, habitually marginalized in economics and management studies, have centred our interest in recent times. We consider that it is not possible to conceive formal structures capable of representing the Darwinism concept of economic behaviour today without recurring to this fundamental generalisation of metric spaces. In our attempts to find a solid base to the structures proposed for the treatment of economic phenomena, we have frequently resorted to the theory of clans and the theory of affinities with results which we believe to be satisfactory. We would like to go further, establishing, if possible, the connection between their axiomatics at the same time as developing some uncertain pretopologies and topologies capable of linking previously unconnected theories, at the same time easing the creation of other new theories.

Fuzzy Evidence in Identification, Forecasting and Diagnosis

Alexander P. Rotshtein,Hanna B. Rakytyanska
Fuzzy Evidence in Identification Forecasting and Diagnosis Book PDF

Author : Alexander P. Rotshtein,Hanna B. Rakytyanska
Publisher : Springer Science & Business Media
Page : 323 pages
File Size : 40,9 Mb
Release : 2012-01-27
Category : Computers
ISBN : 9783642257858

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Fuzzy Evidence in Identification, Forecasting and Diagnosis by Alexander P. Rotshtein,Hanna B. Rakytyanska Pdf

The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving. The book is organised as follows: Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis.

Fuzzy Logic in Medicine

Senen Barro,Roque Marin
Fuzzy Logic in Medicine Book PDF

Author : Senen Barro,Roque Marin
Publisher : Physica
Page : 320 pages
File Size : 46,9 Mb
Release : 2013-03-20
Category : Medical
ISBN : 9783790818048

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Fuzzy Logic in Medicine by Senen Barro,Roque Marin Pdf

To say that Fuzzy Logic in Medicine, or FLM for short, is an important addi tion to the literature of fuzzy logic and its applications, is an understatement. Edited by two prominent informaticians, Professors S. Barro and R. Marin, it is one of the first books in its field. Between its covers, FLM presents authoritative expositions of a wide spectrum of medical and biological ap plications of fuzzy logic, ranging from image classification and diagnostics to anaesthesia control and risk assessment of heart diseases. As the editors note in the preface, recognition of the relevance of fuzzy set theory and fuzzy logic to biological and medical systems has a long history. In this context, particularly worthy of note is the pioneering work of Profes sor Klaus Peter Adlassnig of the University of Vienna School of Medicine. However, it is only within the past decade that we began to see an accelerat ing growth in the visibility and importance of publications falling under the rubric of fuzzy logic in medicine and biology -a leading example of which is the Journal of the Biomedical Fuzzy Systems Association in Japan. Why did it take so long for this to happen? First, a bit of history.