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Rough Sets and Current Trends in Computing: 5th International Conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006, Proceedings (Lecture Notes in Computer Science #4259)

This book constitutes the refereed proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006, held in Kobe, Japan in November 2006. The 91 revised full papers presented together with five invited papers and two commemorative papers were carefully reviewed and selected from 332 submissions.

Rough Sets and Current Trends in Computing: 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings (Lecture Notes in Computer Science #3066)

In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.

Rough Sets and Current Trends in Computing: First International Conference, RSCTC’98 Warsaw, Poland, June 22–26, 1998 Proceedings (Lecture Notes in Computer Science #1424)

This volume constitutes the refereed proceedings of the First International Conference on Rough Sets and Current Trends in Computing, RSCTC'98, held in Warsaw, Poland, in June 1998.The volume presents 82 revised papers carefully selected for inclusion in the proceedings; also included are five invited contributions. The volume is divided in topical sections on rough set methods, statistical inference, grammar systems and molecular computations, logic in rough sets, intelligent control, rough sets in knowledge discovery and data discovery, data mining, evolutionary computation, hybrid methods, etc..

Rough Sets and Current Trends in Computing: Third International Conference, RSCTC 2002, Malvern, PA, USA, October 14-16, 2002. Proceedings (Lecture Notes in Computer Science #2475)

This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Current Trends in Computing (RSCTC 2002) held at Penn State Great Valley, Malvern, Pennsylvania, U.S.A., 14–16 October 2002. Rough set theoryand its applications constitute a branch of soft computing that has exhibited a signi?cant growth rate during recent years. RSCTC 2002 provided a forum for exchanging ideas among manyresearchers in the rough set communityand in various areas of soft computing and served as a stimulus for mutual understanding and cooperation. In recent years, there have been a number of advances in rough set theoryand applications. Hence, we have witnessed a growing number of international workshops on rough sets and their applications. In addition, it should be observed that one of the beauties of rough sets and the rough set philosophyis that it tends to complement and reinforce research in manytraditional research areas and applications. This is the main reason that manyinternational conferences are now including rough sets into the list of topics.

Rough Sets and Current Trends in Computing: 8th International Conference, RSCTC 2012, Chengdu, China, August 17-20, 2012.Proceedings (Lecture Notes in Computer Science #7413)

This book constitutes the refereed proceedings of the 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC, held in Chengdu, China, in August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 55 revised full papers presented together with one keynote paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its applications; current trends in computing; decision-theoretic rough set model and applications; formal concept analysis and granular computing; mining complex data with granular computing; data mining competition.

Rough Sets and Current Trends in Computing: Second International Conference, RSCTC 2000 Banff, Canada, October 16-19, 2000 Revised Papers (Lecture Notes in Computer Science #2005)

This book constitutes the thoroughly refereed post-proceedings of the Second International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000, held in Banff, Canada in October 2000.The 80 revised papers presented together with an introduction and three keynote presentations have gone through two rounds of reviewing and revision. The papers are organized in topical sections on granual computing, rough sets and systems, fuzzy sets and systems, rough sets and data mining, nonclassical logics and reasoning, pattern recognition and image processing, neural networks and genetic algorithms, and current trends in computing.

Rough Sets and Data Mining: Analysis of Imprecise Data

Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.

Rough Sets and Intelligent Systems Paradigms: Second International Conference, RSEISP 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings (Lecture Notes in Computer Science #8537)

This book constitutes the refereed proceedings of the 23rd Australasian Joint Conference on Rough Sets and Intelligent Systems Paradigms, RSEISP 2014, held in Granada and Madrid, Spain, in July 2014. RSEISP 2014 was held along with the 9th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2014, as a major part of the 2014 Joint Rough Set Symposium, JRS 2014. JRS 2014 received 40 revised full papers and 37 revised short papers which were carefully reviewed and selected from 120 submissions and presented in two volumes. This volume contains the papers accepted for the conference RSEISP 2014, as well as the three invited papers presented at the conference. The papers are organized in topical sections on plenary lecture and tutorial papers; foundations of rough set theory; granular computing and covering-based rough sets; applications of rough sets; induction of decision rules - theory and practice; knowledge discovery; spatial data analysis and spatial databases; information extraction from images.

Rough Sets and Intelligent Systems Paradigms: International Conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007, Proceedings (Lecture Notes in Computer Science #4585)

This book constitutes the refereed proceedings of the International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, held in Warsaw, Poland in June 2007. The conference was dedicated to the memory of Professor Zdzislaw Pawlak. Seventy-three full papers are presented, together with two keynote lectures and eleven invited papers. Each of these papers was subject to a strict editorial review.

Rough Sets and Knowledge Technology: 7th International Conference, RSKT 2012, Chengdu, China, August 17-20, 2012, Proceedings (Lecture Notes in Computer Science #7414)

This book constitutes the refereed proceedings of the 7th International Conference on Rough Sets and Knowledge Technology, RSKT 2012, held in Chengdu, China during August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 63 revised papers (including 42 regular and 21 short papers) were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its generalizations, rough sets in data and knowledge processing, knowledge technology, advances in granular computing (AGC 2012 workshop), decision-theoretic rough set model and applications (special session), intelligent decision making and granular computing (special session), rough set foundations (special session).

Rough Sets and Knowledge Technology: First International Conference, RSKT 2006, Chongquing, China, July 24-26, 2006, Proceedings (Lecture Notes in Computer Science #4062)

This book constitutes the refereed proceedings of the First International Conference on Rough Sets and Knowledge Technology, RSKT 2006, held in Chongqing, China in July 2006. The volume presents 43 revised full papers and 58 revised short papers, together with 15 commemorative and invited papers. Topics include rough computing, evolutionary computing, fuzzy sets, granular computing, neural computing, machine learning and KDD, logics and reasoning, multiagent systems and Web intelligence, and more.

Rough Sets and Knowledge Technology: Second International Conference, RSKT 2007, Toronto, Canada, May 14-16, 2007, Proceedings (Lecture Notes in Computer Science #4481)

This book constitutes the refereed proceedings of the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, held in Toronto, Canada in May 2007 in conjunction with the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, both as part of the Joint Rough Set Symposium, JRS 2007.

Rough Sets and Knowledge Technology: Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008, Proceedings (Lecture Notes in Computer Science #5009)

This volume contains the papers selected for presentation at the Third Inter- tional Conference on Rough Sets and Knowledge Technology (RSKT 2008) held in Chengdu, P. R. China, May 16–19, 2008. The RSKT conferences were initiated in 2006 in Chongqing, P. R. China. RSKT 2007 was held in Toronto, Canada, together with RSFDGrC 2007, as JRS 2007. The RSKT conferences aim to present state-of-the-art scienti?c - sults, encourage academic and industrial interaction, and promote collaborative research in rough sets and knowledge technology worldwide. They place emphasis on exploring synergies between rough sets and knowledge discovery, knowledge management, data mining, granular and soft computing as well as emerging application areas such as bioinformatics, cognitive informatics, and Web intel- gence, both at the level of theoretical foundations and real-life applications. RSKT 2008 focused on ?ve major research ?elds: computing theory and paradigms, knowledge technology, intelligent information processing, intelligent control, and applications. This was achieved by including in the conference program sessions on rough and soft computing, rough mereology with app- cations, dominance-based rough set approach, fuzzy-rough hybridization, gr- ular computing, logical and mathematical foundations, formal concept analysis, data mining, machine learning, intelligent information processing, bioinform- ics and cognitive informatics, Web intelligence, pattern recognition, and real-life applications of knowledge technology. A very strict quality control policy was adopted in the paper review process of RSKT 2008. Firstly, the PC Chairs - viewed all submissions.

Rough Sets and Knowledge Technology: 4th International Conference, RSKT 2009, Gold Coast, Australia, July 14-16, 2009, Proceedings (Lecture Notes in Computer Science #5589)

This book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009. The 85 revised full papers papers presented together with 3 keynote papers and 2 special sessions were carefully reviewed and selected from 229 submissions. The papers are organized in topical sections on rough sets and computing, rough sets and data reduction, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007 (Lecture Notes in Computer Science #4482)

This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set Symposium, JRS 2007.

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science #6743)

This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83 submissions. The papers are organized in topical sections on rough sets and approximations, coverings and granules, fuzzy set models, fuzzy set applications, compound values, feature selection and reduction, clusters and concepts, rules and trees, image processing, and interactions and visualization.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I (Lecture Notes in Computer Science #3641)

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II (Lecture Notes in Computer Science #3642)

This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by - proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings (Lecture Notes in Computer Science #2639)

This volume contains the papers selected for presentation at the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003) held at Chongqing University of Posts and Telecommunications, Chongqing, P.R. China, May 26–29, 2003. There were 245 submissions for RSFDGrC 2003 excluding for 2 invited keynote papers and 11 invited plenary papers. Apart from the 13 invited papers, 114 papers were accepted for RSFDGrC 2003 and were included in this volume. The acceptance rate was only 46.5%. These papers were divided into 39 regular oral presentation papers (each allotted 8 pages), 47 short oral presentation papers (each allotted 4 pages) and 28 poster presentation papers (each allotted 4 pages) on the basis of reviewer evaluations. Each paper was reviewed by three referees. The conference is a continuation and expansion of the International Workshops on Rough Set Theory and Applications. In particular, this was the ninth meeting in the series and the first international conference. The aim of RSFDGrC2003 was to bring together researchers from diverse fields of expertise in order to facilitate mutual understanding and cooperation and to help in cooperative work aimed at new hybrid paradigms. It is our great pleasure to dedicate this volume to Prof. Zdzislaw Pawlak, who first introduced the basic ideas and definitions of rough sets theory over 20 years ago.

Rousseau: An Introduction to his Political Philosophy (Philosophers in Perspective)

Rousseau: Rousseau: A Guide For The Perplexed (Guides for the Perplexed #213)

Continuum's Guides for the Perplexed are clear, concise and accessible introductions to thinkers, writers and subjects that students and readers can find especially challenging. Concentrating specifically on what it is that makes the subject difficult to fathom, these books explain and explore key themes and ideas, guiding the reader towards a thorough understanding of demanding material. Jean-Jacques Rousseau  was one of the most engaging yet enigmatic philosophers of the eighteenth century. He  wrote with a flair and directness  unique among great thinkers, yet beneath the surface of his works there is an extraordinarily complex theory of human nature and society. His  diverse body of writing  often leaves students struggling to find a coherent philosophical outlook. Rousseau: A Guide for the Perplexed is a clear and thorough account of Rousseau's  major works and ideas, providing an ideal guide to the  complicated thought of this key philosopher. The book covers the whole range of Rousseau's life and work, offering a detailed review of his landmark philosophical texts, including The Social Contract and Emile, together with examination of his influential contribution to the social sciences . The book provides a cogent and reliable survey of the famous paradoxes in his philosophy and shows how they fit together into a coherent and important theory of culture and politics. This book is the ideal companion to the study of this most influential and challenging philosopher.

Rousseau

Jean-Jacques Rousseau is one of the most controversial philosophers of the eighteenth century, and his groundbreaking work still provokes heated debate in contemporary political theory. In this book, Céline Spector, one of the world’s foremost experts on Rousseau’s thought, provides an accessible introduction to his moral, social and political theory. She explores the themes and central concepts of his thought, ranging from the state of nature, the social contract and the general will to natural and political freedom, religion and education. She combines a skilful exposition of Rousseau as a ‘man of paradoxes’ with a discussion of his often-overlooked ideas on knowledge, political economy and international relations. The book traces both the overall unity and the significant changes in Rousseau’s philosophy, accounting for its complexity and for the importance of its legacy. It will be essential reading for scholars, students and general readers interested in the Enlightenment and more broadly in the history of modern political thought and philosophy.

Rousseau

Jean-Jacques Rousseau is one of the most controversial philosophers of the eighteenth century, and his groundbreaking work still provokes heated debate in contemporary political theory. In this book, Céline Spector, one of the world’s foremost experts on Rousseau’s thought, provides an accessible introduction to his moral, social and political theory. She explores the themes and central concepts of his thought, ranging from the state of nature, the social contract and the general will to natural and political freedom, religion and education. She combines a skilful exposition of Rousseau as a ‘man of paradoxes’ with a discussion of his often-overlooked ideas on knowledge, political economy and international relations. The book traces both the overall unity and the significant changes in Rousseau’s philosophy, accounting for its complexity and for the importance of its legacy. It will be essential reading for scholars, students and general readers interested in the Enlightenment and more broadly in the history of modern political thought and philosophy.

Rousseau and Hobbes: Nature, Free Will, and the Passions

Robin Douglass presents the first comprehensive study of Jean-Jacques Rousseau's engagement with Thomas Hobbes. He reconstructs the intellectual context of this engagement to reveal the deeply polemical character of Rousseau's critique of Hobbes and to show how Rousseau sought to expose that much modern natural law and doux commerce theory was, despite its protestations to the contrary, indebted to a Hobbesian account of human nature and the origins of society. Throughout the book Douglass explores the reasons why Rousseau both followed and departed from Hobbes in different places, while resisting the temptation to present him as either a straightforwardly Hobbesian or anti-Hobbesian thinker. On the one hand, Douglass reveals the extent to which Rousseau was occupied with problems of a fundamentally Hobbesian nature and the importance, to both thinkers, of appealing to the citizens' passions in order to secure political unity. On the other hand, Douglass argues that certain ideas at the heart of Rousseau's philosophy—free will and the natural goodness of man—were set out to distance him from positions associated with Hobbes. Douglass advances an original interpretation of Rousseau's political philosophy, emerging from this encounter with Hobbesian ideas, which focuses on the interrelated themes of nature, free will, and the passions. Douglass distances his interpretation from those who have read Rousseau as a proto-Kantian and instead argues that his vision of a well-ordered republic was based on cultivating man's naturally good passions to render the life of the virtuous citizen in accordance with nature.

Rousseau and Hobbes: Nature, Free Will, and the Passions

Robin Douglass presents the first comprehensive study of Jean-Jacques Rousseau's engagement with Thomas Hobbes. He reconstructs the intellectual context of this engagement to reveal the deeply polemical character of Rousseau's critique of Hobbes and to show how Rousseau sought to expose that much modern natural law and doux commerce theory was, despite its protestations to the contrary, indebted to a Hobbesian account of human nature and the origins of society. Throughout the book Douglass explores the reasons why Rousseau both followed and departed from Hobbes in different places, while resisting the temptation to present him as either a straightforwardly Hobbesian or anti-Hobbesian thinker. On the one hand, Douglass reveals the extent to which Rousseau was occupied with problems of a fundamentally Hobbesian nature and the importance, to both thinkers, of appealing to the citizens' passions in order to secure political unity. On the other hand, Douglass argues that certain ideas at the heart of Rousseau's philosophy—free will and the natural goodness of man—were set out to distance him from positions associated with Hobbes. Douglass advances an original interpretation of Rousseau's political philosophy, emerging from this encounter with Hobbesian ideas, which focuses on the interrelated themes of nature, free will, and the passions. Douglass distances his interpretation from those who have read Rousseau as a proto-Kantian and instead argues that his vision of a well-ordered republic was based on cultivating man's naturally good passions to render the life of the virtuous citizen in accordance with nature.