On the importance of interval sets in type-2 fuzzy logic systems

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn 3, Issue , 2001, Pages 1647-1652

  Mendel, Jerry M ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE BASED SYSTEMS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; THEOREM PROVING; UNCERTAIN SYSTEMS;

FUZZY LOGIC SYSTEMS; INTERVAL SETS; MATHEMATICAL DIMENSION;

FUZZY SETS;

EID: 0035792454     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. N. N. Karnik, and J. M. Mendel, An Introduction to Type-2 Fuzzy Logic Systems, Univ. of Southern Calif., Los Angeles, CA, June 1998; see http://sipi.usc.edu/~mendel/report.
2. N. N. Karnik, and J. M. Mendel, "Operations on Type-2 Fuzzy Sets," Fuzzy Sets and Systems, 2001.
3. Q. Liang and J. M. Mendel, Interval Type-2 Fuzzy Logic Systems: Theory and Design," IEEE Trans. on Fuzzy Systems, vol. 8, pp. 535-550, 2000.
4. J. M. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Prentice Hall, Upper Saddle River, NJ, 2001.
5. L.-X. Wang, and J. M. Mendel, "Fuzzy Basis Functions, Universal Approximation, and Orthogonal Least Squares Learning," IEEE Trans. on Neural Networks, vol. 3, Sept. 1992, pp. 807-813.