Fuzzy logic in case-based reasoning

Author

Vasudevau, C. ; Smith, S.M. ; Ganesan, K.

Author_Institution

Dept. of Ocean Eng., Florida Atlantic Univ., Boca Raton, FL, USA

fYear

1994

fDate

18-21 Dec 1994

Firstpage

301

Lastpage

302

Abstract

This paper presents a fuzzy logic approach to address the indexing problems in case-based reasoning paradigm. The relevance of representing case indices using fuzzy sets and a scheme for rating and ranking of candidate cases using fuzzy aggregation operators are discussed. The authors also suggest employing case-based reasoning for learning in fuzzy systems. The proposed schemes are exemplified in the content of a hybrid reasoning system for reactive navigation of autonomous underwater vehicles

Keywords

case-based reasoning; fuzzy logic; fuzzy set theory; fuzzy systems; learning (artificial intelligence); marine systems; mobile robots; path planning; autonomous underwater vehicles; case-based reasoning; fuzzy aggregation operators; fuzzy logic approach; fuzzy sets; fuzzy systems; hybrid reasoning system; indexing problems; learning; ranking; rating; reactive navigation; Computer science; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Indexing; Libraries; Navigation; Oceans; Tail; Underwater vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-2125-1

Type

conf

DOI

10.1109/IJCF.1994.375116

Filename

375116