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Incomplete Information: Rough Set Analysis

  • Book
  • © 1998

Overview

Editors:
  1. Ewa Orłowska

    1. Institute of Telecommunications, Warsaw, Poland

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  • An up-to-date and highly authoritative account of the current status of the basic theory, extensions and applications of rough sets
  • A must reading for anyone who has a serious interest in information processing and knowledge-based systems

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 13)

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Table of contents (19 chapters)

  1. Similarity-Based Reasoning

    1. Similarity versus Preference in Fuzzy Set-Based Logics

      • Didier Dubois, Henri Prade
      Pages 441-461

    2. A Logic for Reasoning about Similarity

      • Beata Konikowska
      Pages 462-491

    3. Information Systems, Similarity Relations and Modal Logics

      • Dimiter Vakarelov
      Pages 492-550

  2. Extended Rough Set-Based Deduction Methods

    1. Front Matter

      Pages 551-551
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    2. Axiomatization of Logics Based on Kripke Models with Relative Accessibility Relations

      • Philippe Balbiani
      Pages 553-578

    3. Rough Logics: A Survey with Further Directions

      • Mohua Banerjee, Mihir K. Chakraborty
      Pages 579-600

    4. On the Logic with Rough Quantifier

      • Michał Krynicki, Lesław W. Szczerba
      Pages 601-613
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About this book

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.

Editors and Affiliations

  • Institute of Telecommunications, Warsaw, Poland

    Ewa Orłowska

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