Soft Computing Evaluation Logic

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Soft Computing Evaluation Logic

Author : Jozo Dujmović
Publisher : John Wiley & Sons
Page : 912 pages
File Size : 42,7 Mb
Release : 2018-09-10
Category : Computers
ISBN : 9781119256472

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Soft Computing Evaluation Logic by Jozo Dujmović Pdf

A novel approach to decision engineering, with a verified framework for modeling human reasoning Soft Computing Evaluation Logic provides an in-depth examination of evaluation decision problems and presents comprehensive guidance toward the use of the Logic Scoring of Preference (LSP) method in modeling complex decision criteria. Fully aligned with current developments in computational intelligence, the discussion covers the design and use of LSP criteria for evaluation and comparison in diverse areas, such as search engines, medical conditions, real estate, space management, habitat mitigation projects in ecology, and land use and residential development suitability maps, with versatile transfer to other similar decision-modeling contexts. Human decision making is rife with fuzziness, imprecision, uncertainty, and half-truths—yet humans make evaluation decisions every day. In this book, such decision processes are observed, analyzed, and modeled. The result is graded logic, a soft computing mathematical infrastructure that provides both formal logic and semantic generalizations of classical Boolean logic. Graded logic is used for logic aggregation in the context of evaluation models consistent with observable properties of human reasoning. The LSP method, based on graded logic and logic aggregation, is a vital component of an industrial-strength decision engineering framework. Thus, the book: Provides detailed theoretical background for graded logic Provides a theory of logic aggregators Explains the LSP method for designing complex evaluation criteria and their use Shows techniques for evaluation, comparison, and selection of complex systems, as well as the cost/suitability analysis, optimization, sensitivity analysis, tradeoff analysis, and missingness-tolerant aggregation Includes a survey of available LSP software tools, including ISEE, ANSY and LSP.NT. With quantitative modeling of human reasoning, novel approaches to modeling decision criteria, and a verified decision engineering framework applicable to a broad array of applications, this book is an invaluable resource for graduate students, researchers, and practitioners working within the decision engineering realm.

Soft Computing Evaluation Logic

Author : Jozo Dujmović
Publisher : John Wiley & Sons
Page : 912 pages
File Size : 43,9 Mb
Release : 2018-09-10
Category : Computers
ISBN : 9781119256465

Get Book

Soft Computing Evaluation Logic by Jozo Dujmović Pdf

A novel approach to decision engineering, with a verified framework for modeling human reasoning Soft Computing Evaluation Logic provides an in-depth examination of evaluation decision problems and presents comprehensive guidance toward the use of the Logic Scoring of Preference (LSP) method in modeling complex decision criteria. Fully aligned with current developments in computational intelligence, the discussion covers the design and use of LSP criteria for evaluation and comparison in diverse areas, such as search engines, medical conditions, real estate, space management, habitat mitigation projects in ecology, and land use and residential development suitability maps, with versatile transfer to other similar decision-modeling contexts. Human decision making is rife with fuzziness, imprecision, uncertainty, and half-truths—yet humans make evaluation decisions every day. In this book, such decision processes are observed, analyzed, and modeled. The result is graded logic, a soft computing mathematical infrastructure that provides both formal logic and semantic generalizations of classical Boolean logic. Graded logic is used for logic aggregation in the context of evaluation models consistent with observable properties of human reasoning. The LSP method, based on graded logic and logic aggregation, is a vital component of an industrial-strength decision engineering framework. Thus, the book: Provides detailed theoretical background for graded logic Provides a theory of logic aggregators Explains the LSP method for designing complex evaluation criteria and their use Shows techniques for evaluation, comparison, and selection of complex systems, as well as the cost/suitability analysis, optimization, sensitivity analysis, tradeoff analysis, and missingness-tolerant aggregation Includes a survey of available LSP software tools, including ISEE, ANSY and LSP.NT. With quantitative modeling of human reasoning, novel approaches to modeling decision criteria, and a verified decision engineering framework applicable to a broad array of applications, this book is an invaluable resource for graduate students, researchers, and practitioners working within the decision engineering realm.

Quantitative Logic and Soft Computing

Author : Bing-Yuan Cao,Shuili Chen,Guojun Wang,Sicong Guo
Publisher : Springer Science & Business Media
Page : 810 pages
File Size : 49,8 Mb
Release : 2010-10-14
Category : Technology & Engineering
ISBN : 9783642156601

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Quantitative Logic and Soft Computing by Bing-Yuan Cao,Shuili Chen,Guojun Wang,Sicong Guo Pdf

Admittedly, the notion “intelligence or intelligent computing” has been around us for several decades, implicitly indicating any non-conventional methods of solving complex system problems such as expert systems and intelligent control techniques that mimic human skill and replace human operators for automation. Various kinds of intelligent methods have been suggested, phenomenological or ontological, and we have been witnessing quite successful applications. On the other hand, “Soft Computing Techniques” is the concept coined by Lot? Zadeh, referring to “a set of approaches of computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty, imprecision and partial truth. ” Such a notion is well contrasted with the conventionalbinary logic based hard c- puting and has been effectively utilized with the guiding principle of “exploiting the tolerance for uncertainty,imprecision and partial truth to achieve tractability, - bustness and low solution cost. ” The soft computing techniques are often employed as the technical entities in a tool box with tools being FL, ANN, Rough Set, GA etc. Based on one’s intuition and experience, an engineer can build and realize hum- like systems by smartly mixing proper technical tools effectivelyand ef?ciently in a wide range of ?elds. For some time, the soft computing techniques are also referred to as intelligent computing tools.

Fuzzy Logic and Soft Computing

Author : Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi Asker Zadeh
Publisher : World Scientific
Page : 512 pages
File Size : 49,8 Mb
Release : 1995
Category : Computers
ISBN : 9810223455

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Fuzzy Logic and Soft Computing by Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi Asker Zadeh Pdf

Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning.This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field.

A New Paradigm of Knowledge Engineering by Soft Computing

Author : Liya Ding,Fuzzy Logic Systems Institute
Publisher : World Scientific
Page : 392 pages
File Size : 48,6 Mb
Release : 2001
Category : Computers
ISBN : 9789810245177

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A New Paradigm of Knowledge Engineering by Soft Computing by Liya Ding,Fuzzy Logic Systems Institute Pdf

Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic human intelligence in thinking, learning, reasoning, and many other aspects. Knowledge engineering (KE), which deals with knowledge acquisition, representation, validation, inferencing, explanation, and maintenance, has made significant progress recently, owing to the indefatigable efforts of researchers. Undoubtedly, the hot topics of data mining and knowledge/data discovery have injected new life into the classical AI,world. This book tells readers how KE has been influenced and extended by SC and how SC will be helpful in pushing the frontier of KE further. It is intended for researchers and graduate students to use as a reference in the study of knowledge engineering and intelligent systems. The reader is expected to have a basic knowledge of fuzzy logic, neural networks, genetic algorithms, and knowledge-based systems.

Soft Computing for Risk Evaluation and Management

Author : Da Ruan,Mario Fedrizzi
Publisher : Springer Science & Business Media
Page : 538 pages
File Size : 55,7 Mb
Release : 2001-09-11
Category : Business & Economics
ISBN : 3790814067

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Soft Computing for Risk Evaluation and Management by Da Ruan,Mario Fedrizzi Pdf

Risk is a crucial element in virtually all problems people in diverse areas face in their activities. It is impossible to find adequate models and solutions without taking it into account. Due to uncertainty and complexity in those problems, traditional "hard" tools and techniques may be insufficient for their formulation and solution. This is the first book in the literature that shows how soft computing methods (fuzzy logic, neural networks, genetic algorithms, etc.) can be employed to deal with various problems related to risk analysis, evaluation and management in various fields of technology, environment and finance.

Lectures on Soft Computing and Fuzzy Logic

Author : Antonio Di Nola,Giangiacomo Gerla
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 50,5 Mb
Release : 2013-06-05
Category : Computers
ISBN : 9783790818185

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Lectures on Soft Computing and Fuzzy Logic by Antonio Di Nola,Giangiacomo Gerla Pdf

The present volume collects selected papers arising from lectures delivered by the authors at the School on Fuzzy Logic and Soft Computing held during the years 1996/97/98/99 and sponsored by the Salerno University. The authors contributing to this volume agreed with editors to write down, to enlarge and, in many cases, to rethink their original lectures, in order to offer to readership, a more compact presentation of the proposed topics. The aim of the volume is to offer a picture, as a job in progress, of the effort that is coming in founding and developing soft computing's techniques. The volume contains papers aimed to report on recent results containing genuinely logical aspects of fuzzy logic. The topics treated in this area cover algebraic aspects of Lukasiewicz Logic, Fuzzy Logic as the logic of continuous t-norms, Intuitionistic Fuzzy Logic. Aspects of fuzzy logic based on similar ity relation are presented in connection with the problem of flexible querying in deductive database. Departing from fuzzy logic, some papers present re sults in Probability Logic treating computational aspects, results based on indishernability relation and a non commutative version of generalized effect algebras. Several strict applications of soft computing are presented in the book. Indeed we find applications ranging among pattern recognition, image and signal processing, evolutionary agents, fuzzy cellular networks, classi fication in fuzzy environments. The volume is then intended to serve as a reference work for foundational logico-algebraic aspect of Soft Computing and for concrete applications of soft computing technologies.

Recent Developments and the New Directions of Research, Foundations, and Applications

Author : Shahnaz N. Shahbazova,Ali M. Abbasov,Vladik Kreinovich,Janusz Kacprzyk,Ildar Z. Batyrshin
Publisher : Springer Nature
Page : 398 pages
File Size : 49,6 Mb
Release : 2023-06-14
Category : Technology & Engineering
ISBN : 9783031201530

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Recent Developments and the New Directions of Research, Foundations, and Applications by Shahnaz N. Shahbazova,Ali M. Abbasov,Vladik Kreinovich,Janusz Kacprzyk,Ildar Z. Batyrshin Pdf

This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.

Logic Programming and Soft Computing

Author : T. P. Martin,Francesca Arcelli Fontana
Publisher : Research Studies Press Limited
Page : 320 pages
File Size : 47,7 Mb
Release : 1998
Category : Computers
ISBN : UOM:39015047101566

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Logic Programming and Soft Computing by T. P. Martin,Francesca Arcelli Fontana Pdf

The challenge now facing AI is to produce systems exhibiting higher 'machine IQ' and using 'common sense' reasoning, rather than purely logical deduction. Soft computing is an attempt to meet this challenge, allowing computers to handle imprecision, uncertainty and partial truth. It has evolved from the success of fuzzy control and other area of 'sub-symbolic' artificial intelligence such as neural nets. This book presents different perspectives on how to combine soft computing's tolerance of imprecision with logic programming's power and semantics to provide a way forward for the implementation of intelligent knowledge-based systems.

Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

Author : Oscar Castillo,Patricia Melin,Oscar Montiel Ross,Roberto Sepúlveda Cruz,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 626 pages
File Size : 44,6 Mb
Release : 2007-10-10
Category : Technology & Engineering
ISBN : 9783540724346

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Theoretical Advances and Applications of Fuzzy Logic and Soft Computing by Oscar Castillo,Patricia Melin,Oscar Montiel Ross,Roberto Sepúlveda Cruz,Witold Pedrycz Pdf

This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.

Soft Computing: State of the Art Theory and Novel Applications

Author : Ronald R Yager,Ali M. Abbasov,Marek Z. Reformat,Shahnaz N Shahbazova
Publisher : Springer
Page : 316 pages
File Size : 45,8 Mb
Release : 2012-10-31
Category : Technology & Engineering
ISBN : 9783642349225

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Soft Computing: State of the Art Theory and Novel Applications by Ronald R Yager,Ali M. Abbasov,Marek Z. Reformat,Shahnaz N Shahbazova Pdf

This book is a tribute to Lotfi A. Zadeh, the father of fuzzy logic, on the occasion of his 90th Birthday. The book gathers original scientific contributions written by top scientists and presenting the latest theories, applications and new trends in the fascinating and challenging field of soft computing.

Modeling Decisions for Artificial Intelligence

Author : Vicenç Torra,Yasuo Narukawa,Isabel Aguiló,Manuel González-Hidalgo
Publisher : Springer
Page : 335 pages
File Size : 52,5 Mb
Release : 2018-10-08
Category : Computers
ISBN : 9783030002022

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Modeling Decisions for Artificial Intelligence by Vicenç Torra,Yasuo Narukawa,Isabel Aguiló,Manuel González-Hidalgo Pdf

This book constitutes the proceedings of the 15th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2018, held in Mallorca, Spain, in October 2018. The 24 papers presented in this volume were carefully reviewed and selected from 43 submissions. The book also contains one invited talk in full paper length. The papers were organized in topical sections named: aggregation operators, fuzzy measures and integrals; decision making; clustering and classification; and data privacy and security.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Author : Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 855 pages
File Size : 49,8 Mb
Release : 2007-09-20
Category : Technology & Engineering
ISBN : 9783540724322

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Analysis and Design of Intelligent Systems Using Soft Computing Techniques by Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz Pdf

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Advance Trends in Soft Computing

Author : Mo Jamshidi,Vladik Kreinovich,Janusz Kacprzyk
Publisher : Springer
Page : 464 pages
File Size : 45,8 Mb
Release : 2013-11-18
Category : Technology & Engineering
ISBN : 9783319036748

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Advance Trends in Soft Computing by Mo Jamshidi,Vladik Kreinovich,Janusz Kacprzyk Pdf

This book is the proceedings of the 3rd World Conference on Soft Computing (WCSC), which was held in San Antonio, TX, USA, on December 16-18, 2013. It presents start-of-the-art theory and applications of soft computing together with an in-depth discussion of current and future challenges in the field, providing readers with a 360 degree view on soft computing. Topics range from fuzzy sets, to fuzzy logic, fuzzy mathematics, neuro-fuzzy systems, fuzzy control, decision making in fuzzy environments, image processing and many more. The book is dedicated to Lotfi A. Zadeh, a renowned specialist in signal analysis and control systems research who proposed the idea of fuzzy sets, in which an element may have a partial membership, in the early 1960s, followed by the idea of fuzzy logic, in which a statement can be true only to a certain degree, with degrees described by numbers in the interval [0,1]. The performance of fuzzy systems can often be improved with the help of optimization techniques, e.g. evolutionary computation, and by endowing the corresponding system with the ability to learn, e.g. by combining fuzzy systems with neural networks. The resulting “consortium” of fuzzy, evolutionary, and neural techniques is known as soft computing and is the main focus of this book.

Quantitative Logic and Soft Computing

Author : Guojun Wang,Yongming Li,Bin Zhao
Publisher : World Scientific
Page : 724 pages
File Size : 44,8 Mb
Release : 2012
Category : Computers
ISBN : 9789814401524

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Quantitative Logic and Soft Computing by Guojun Wang,Yongming Li,Bin Zhao Pdf

The QL&SC 2012 is a major symposium for scientists, and practitioners all around the world to present their latest reseaches, results, ideas, developments and applications in such areas as quantitative logic, many-valued logic, fuzzy logic, quantification of software, artificial intelligence, fuzzy sets and systems and soft computing. This invaluable book provides a broad introduction to the fuzzy reasoning and soft computing. It is certain one should not go too far in approximation and optimization, and a certain degree must be kept in mind. This is the essential idea of quantitative logic and soft computing. The explanations in the book are complete to provide the necessary background material needed to go further into the subject and explore the research literature. It is suitable reading for graduate students. It provides a platform for mutual exchanges from top experts and scholars around the world in this field.