Extracting Linguistic Rules from Database using Linguistic Aggregation Operator

DOI

10.2991/iske.2007.276How to use a DOI?

Keywords

linguistic rules, Linguistic aggregation operator, Genetic algorithm

Abstract

In real-world database, most attribute values of objects are numerical, numeral is too detail to obtaining good information or decision. Hence, linguistic rules of a set of data would be very desirable and human consistent. Based on a new aggregation operator for aggregating linguistic terms, extracting linguistic rules are presented. Due to obtain a linguistic rule with higher truth degree, genetic algorithm is used to optimize the number and membership functions of linguistic terms.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zheng Pei
AU  - Yingchao Shao
PY  - 2007/10
DA  - 2007/10
TI  - Extracting Linguistic Rules from Database using Linguistic Aggregation Operator
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1612
EP  - 1618
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.276
DO  - 10.2991/iske.2007.276
ID  - Pei2007/10
ER  -