DocumentCode :
2115647
Title :
Intelligent Classification Based on Tolerance Relations
Author :
Zhou, Pei Li ; Cai, Wanjing
Author_Institution :
Fac. of Inf. Technol., Monash Univ., Clayton, VIC
fYear :
2008
fDate :
18-18 Dec. 2008
Firstpage :
445
Lastpage :
448
Abstract :
Binary relations and its operations are important in set theory. But traditional research mainly focuses on pure mathematics operations on set theory. Pansystems strengthen the research work in set theory by combining mathematics with its philosophical background. In this paper, using pansystems PMT-combination method, we re-inspect the philosophical background of binary relations and give a new interpretation of equivalence relations and tolerance relations. Tolerance relations are more generic than equivalence relations. Equivalence relations can generate a division on a given set. Tolerance relations, however, cannot to be used to divide a set directly. Based on our research on tolerance relations and equivalence relations, we propose a new method of using tolerance relations to divide a given set. Furthermore we go back to the real world and give the philosophical explanation of this new kind of division.
Keywords :
equivalence classes; learning (artificial intelligence); pattern classification; set theory; PMT-combination method; binary relation; equivalence relation; intelligent classification; machine learning; mathematics operation; pansystem; set theory; tolerance relation; Abstracts; Biomedical engineering; Books; Computer science; Cybernetics; Information technology; Mathematics; Pediatrics; Seminars; Set theory; Binary Relations; Equivalence Relations; Intelligence Classfication; Pansystems; Tolerance Relations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3561-6
Type :
conf
DOI :
10.1109/FBIE.2008.120
Filename :
5076778
Link To Document :
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