Title :
The potential of imprecision in intelligent decision making
Author :
Ong, David C C ; Khaddaj, Souheil
Author_Institution :
Fac. of Comput., Inf. Syst. & Math., Kingston Univ., Kingston upon Thames, UK
Abstract :
At the core of most decision making mechanisms is some sort of intelligent logical reasoning strategy. Therefore, the accuracy and precision of decision making depends on the applied logic and learning processes. This paper tries to address these issues by formulating a tolerance to imprecision view which can be used in the proposed decision making framework that integrates various reasoning strategies.
Keywords :
decision making; formal logic; inference mechanisms; learning (artificial intelligence); applied logic; intelligent decision making; intelligent logical reasoning; learning; Computer applications; Data analysis; Decision making; Fuzzy logic; Fuzzy set theory; Information systems; Mathematics; Uncertainty;
Conference_Titel :
Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the
Conference_Location :
London
Print_ISBN :
978-1-4244-4456-4
Electronic_ISBN :
978-1-4244-4457-1
DOI :
10.1109/ICADIWT.2009.5273892
