Rough set approach to cbr

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2005, Issue , 2001, Pages 503-510

  Wierzbicki, Jan ^a  

^a POLISH JAPANESE INSTITUTE OF INFORMATION TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CASE BASED REASONING; PROBLEM SOLVING;

ALGORITHM OPERATION; ATTRIBUTE RECOGNITION; CASEBASED REASONINGS (CBR); HIERARCHICAL ATTRIBUTES; HIERARCHICAL OBJECTS; OPERATION SEQUENCES; PROBLEM DEFINITION; TRANSFORM ALGORITHM;

ROUGH SET THEORY;

EID: 84863246363     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45554-X_62     Document Type: Conference Paper

References (6)

1. A. Aamodt & E. Plaza (1994). Case Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Communications.
2. K. Hammond (1986). CHEF: A model of case-based planing. In Proc. of AAAI-86, Cambridge MA: AAAI Press/MIT Press.
3. J. Kolodner (1993). Case Based Reasoning. Morgan Kaufmann.
4. J. Wierzbicki (1998) - “CBR for complex objects represented in hierarchical information systems”, procedings First International Conference - Rough Sets and Current Trends in Computing, Warsaw 1998, Springer-Verlag Berlin Heidelberg.
5. Z. Pawlak (1991). Rough Sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Boston, London, Dordrecht.
6. L. Polkowski, A. Skowron, J. Komorowski (1996). Approximate case-based reasoning: A rough mereological approach. In: H.D.Barkhard, M.Lenz (eds.), Fourth German Workshop on Case-Based Reasoning. System Development and Evaluation, Informatik Berichte 55, Humboldt University, Berlin, 144-151.