Incomplete Information Rough Set Analysis PDF Download
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Author | : Ewa Orlowska |
Publisher | : Physica |
Total Pages | : 615 |
Release | : 2013-03-14 |
Genre | : Computers |
ISBN | : 3790818887 |
Download Incomplete Information: Rough Set Analysis Book in PDF, ePub and Kindle
In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.
Author | : Ewa Orlowska |
Publisher | : Physica |
Total Pages | : 613 |
Release | : 2013-01-11 |
Genre | : Computers |
ISBN | : 9783662120545 |
Download Incomplete Information: Rough Set Analysis Book in PDF, ePub and Kindle
In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.
Author | : Ewa Orlowska |
Publisher | : Springer Science & Business Media |
Total Pages | : 638 |
Release | : 1997-11-27 |
Genre | : Computers |
ISBN | : 9783790810493 |
Download Incomplete Information: Rough Set Analysis Book in PDF, ePub and Kindle
In 1982, Professor Pawlak published his seminal paper on what he called "rough sets" - a work which opened a new direction in the development of theories of incomplete information. Today, a decade and a half later, the theory of rough sets has evolved into a far-reaching methodology for dealing with a wide variety of issues centering on incompleteness and imprecision of information - issues which playa key role in the conception and design of intelligent information systems. "Incomplete Information: Rough Set Analysis" - or RSA for short - presents an up-to-date and highly authoritative account of the current status of the basic theory, its many extensions and wide-ranging applications. Edited by Professor Ewa Orlowska, one of the leading contributors to the theory of rough sets, RSA is a collection of nineteen well-integrated chapters authored by experts in rough set theory and related fields. A common thread that runs through these chapters ties the concept of incompleteness of information to those of indiscernibility and similarity.
Author | : Xibei Yang |
Publisher | : Springer Science & Business Media |
Total Pages | : 238 |
Release | : 2012-12-15 |
Genre | : Computers |
ISBN | : 3642259359 |
Download Incomplete Information System and Rough Set Theory Book in PDF, ePub and Kindle
"Incomplete Information System and Rough Set Theory: Models and Attribute Reductions" covers theoretical study of generalizations of rough set model in various incomplete information systems. It discusses not only the regular attributes but also the criteria in the incomplete information systems. Based on different types of rough set models, the book presents the practical approaches to compute several reducts in terms of these models. The book is intended for researchers and postgraduate students in machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, and granular computing. Dr. Xibei Yang is a lecturer at the School of Computer Science and Engineering, Jiangsu University of Science and Technology, China; Jingyu Yang is a professor at the School of Computer Science, Nanjing University of Science and Technology, China.
Author | : |
Publisher | : |
Total Pages | : 613 |
Release | : 1998 |
Genre | : Fuzzy sets |
ISBN | : |
Download Incomplete Information Book in PDF, ePub and Kindle
Author | : Z. Pawlak |
Publisher | : Springer Science & Business Media |
Total Pages | : 247 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 9401135347 |
Download Rough Sets Book in PDF, ePub and Kindle
To-date computers are supposed to store and exploit knowledge. At least that is one of the aims of research fields such as Artificial Intelligence and Information Systems. However, the problem is to understand what knowledge means, to find ways of representing knowledge, and to specify automated machineries that can extract useful information from stored knowledge. Knowledge is something people have in their mind, and which they can express through natural language. Knowl edge is acquired not only from books, but also from observations made during experiments; in other words, from data. Changing data into knowledge is not a straightforward task. A set of data is generally disorganized, contains useless details, although it can be incomplete. Knowledge is just the opposite: organized (e.g. laying bare dependencies, or classifications), but expressed by means of a poorer language, i.e. pervaded by imprecision or even vagueness, and assuming a level of granularity. One may say that knowledge is summarized and organized data - at least the kind of knowledge that computers can store.
Author | : Stelios H. Zanakis |
Publisher | : Springer Science & Business Media |
Total Pages | : 484 |
Release | : 2013-04-17 |
Genre | : Business & Economics |
ISBN | : 1475749198 |
Download Decision Making: Recent Developments and Worldwide Applications Book in PDF, ePub and Kindle
This chapter describes a study conducted at the Swinburne University of Technology in Australia, in their School of Business. The study was to explore the applicability of a judgment-analytic decision support system to the assessment of the likelihood of an applicant being selected for admission to the School's Graduate Certificate in Business Administration (GCBA) program. The likelihood of a program administrator selecting a particular applicant is directly linked to the assessment of the likelihood of that applicant's success in the GCBA program. The purpose of this study, in effect, was to analyze the administrative judgment process in assessment of an applicant's likelihood of success in the program. THE PROCESS OF HUMAN JUDGMENT Human judgment is a process through which an individual uses social infonnation to make decisions. The social infonnation is obtained from an individual's environment and is interpreted through the individual's cognitive image of the environment. The. cognitive image provides a representation of the environment based on past experiences and training, and essentially predisposes the person to respond to social infonnation in predictable ways. An individual's policies or beliefs about the environment represent these patterns. Human judgments are based then upon one's interpretation of available infonnation. They are probability statements about one's environment and how one reacts to it. This condition leads to the human judgment process being inherently limited. It is fundamentally a covert process. It is seldom possible for an individual to accurately describe his or her judgment process accurately.
Author | : Sankar Kumar Pal |
Publisher | : Springer Science & Business Media |
Total Pages | : 741 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 3642188591 |
Download Rough-Neural Computing Book in PDF, ePub and Kindle
Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others. It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.
Author | : Hassanien, Aboul Ella |
Publisher | : IGI Global |
Total Pages | : 314 |
Release | : 2007-08-31 |
Genre | : Business & Economics |
ISBN | : 1599045540 |
Download Rough Computing: Theories, Technologies and Applications Book in PDF, ePub and Kindle
Covers key rough computing research, surveying a full range of topics and examining defining issues of the field.
Author | : JingTao Yao |
Publisher | : Springer |
Total Pages | : 589 |
Release | : 2007-06-26 |
Genre | : Computers |
ISBN | : 3540724583 |
Download Rough Sets and Knowledge Technology Book in PDF, ePub and Kindle
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.