The quotient space theory of problem solving

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

Volumn 2639, Issue , 2003, Pages 11-15

  Zhang, Ling ^a,b   Zhang, Bo ^b  

^a ANHUI UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; GRAIN SIZE AND SHAPE; GRANULAR COMPUTING; ROUGH SET THEORY; COMPUTATIONAL COMPLEXITY; MATHEMATICAL MODELS; THEOREM PROVING;

BASIC CHARACTERISTICS; GRAIN SIZE; PROBLEM SPACE; QUOTIENT SPACE; QUOTIENT SPACE THEORY; HIERARCHICAL PROBLEM SOLVING; TRIPLET;

DATA MINING; PROBLEM SOLVING;

EID: 8344259851     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_2     Document Type: Conference Paper

References (11)

1. J. R. Hobbs, Granularity, In Proc. of IJCAI, Los Angeles, (1985) 432–435.
2. Bo Zhang and Ling Zhang, Theory and Application of Problem Solving. North-Holland, Elsevier Science Publishers B.V. (1992)
3. L. A. Zadeh, Fuzzy logic=computing with words, IEEE Transactions on Fuzzy Systems, Vol. 4 (1996) 103–111
4. L. A. Zadeh, Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic, Fuzzy Sets and Systems, Vol. 19 (1997) 111–127
5. L. A. Zadeh, Announcement of GrC. (1997) http://www.cs.uregina.ca/~yyao/GrC/
6. Z. Pawlak, Rough Sets Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht, Boston, London (1991)
7. Y. Y. Yao, Granular Computing: basic issues and possible solutions. Proc. of Fifth Joint Conference on Information Sciences, Vol. I, Atlantic City, New Jersey, USA, (2000) 186–189.
8. Y.Y. Yao, and X. Li, Comparison of rough-set and interval-srt models for uncertain reasoning, Fundamental Informatics, Vol. 27 (1996) 289–298
9. Y.Y. Yao, S.K.M. Wong, and L.S. Wang, A nonnumeric approach to uncertain reasoning, International Journal of General Systems, Vol. 23 (1995) 343–359
10. Y.Y. Yao and Ning Zhong, Granular Computing Using Information Table, in T.Y. Lin, Y.Y Yao, and L. A. Zadeh (editors) Data Miming, Rough Sets and Granular Computing, Physica-Verlag, (2000) 102–124.
11. Y.Y. Yao and J.T. Yao, Granular Computing as Basis for Consistent Classification Problems, Manuscript.