Robust granular neural networks, fuzzy granules and classification

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

Volumn 6401 LNAI, Issue , 2010, Pages 220-227

  Avatharam, G ^a   Pal, Sankar K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

fuzzy classification; granular computing; granular neural networks; linguistic arithmetic; linguistic variable

Indexed keywords

ARITHMETIC OPERATIONS; CLASSIFICATION PERFORMANCE; CONNECTION WEIGHTS; DEVELOPMENT STRATEGIES; FUZZY CLASSIFICATION; FUZZY GRANULES; GRANULAR NEURAL NETWORKS; INPUT VECTOR; LINGUISTIC HEDGES; LINGUISTIC VARIABLE; MEMBERSHIP VALUES; MODEL-BASED; MULTI LAYER PERCEPTRON; NODE FUNCTIONS; REAL LIFE DATASETS; TARGET VECTORS;

BACKPROPAGATION ALGORITHMS; FUZZY SYSTEMS; GRANULAR COMPUTING; GRANULATION; LINGUISTICS; ROUGH SET THEORY; VECTORS;

FUZZY NEURAL NETWORKS;

EID: 78449246005     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16248-0_34     Document Type: Conference Paper

References (13)

1. Yao, Y.Y.: Granular Computing: basic issues and possible solutions. In: 5th Joint Conference on Information Sciences, pp. 186-189 (2001)
2. Zadeh, L.A.: From computing with numbers to computing with words - from manipulation of measurements to manipulation of perceptions. IEEE Trans. Circuits Syst. 1-45, 105-119 (1999)
3. Dick, S., Schenkar, A., Pedrycz, W., Kandal, A.: A Granular Algorithm for Re-Granulating a Fuzzy Rule base. Information Sciences 177, 408-435 (2007)
4. Dick, S., Tappenden, A., Badke, C., Olarewaju, O.: A Novel Granular Neural Network Architecture. In: Annual Meeting of the North American Fuzzy Information Processing Society - NAFIS, North America, pp. 42-47 (2007)
5. Kocyz, L.T., Hirota, K.: Left Ordering, distance and closeness of fuzzy sets. Fuzzy Sets and Systems 59, 281-293 (1993)
6. Liu, C., Shindhelm, A., Li, D., Jin, K.: A numerical approach to linguistic variables and linguistic space. In: IEEE Int. C. Fuzzy Systems, pp. 954-959 (1996)
7. Klir, G.J., Folger, T.: Fuzzy sets, Uncertainty and Information. Addison Wesley, Reading (1989)
8. Pal, S.K., Dutta Majumder, D.: Fuzzy Mathematical Approach to Pattern Recognition. Wiley Halsted Press, New York (1986)
9. Pal, S.K., Mitra, S.: Multilayer Perceptron, Fuzzy Sets, and Classification. IEEE Transactions on Neural Networks 3(5) (1992)
10. Newman, D.J., Hettich, S., Blake, C.L., Merz, C.J.: UCI repository of machine learning databases. University of California, Department of Information and Computer Science, Irvine, CA (1998), http://archive.ics.uci.edu/ml/
11. Vasilakos, A., Stathakis, D.: Granular neural networks for land use classification. Soft Computing 9, 332-340 (2005)
12. Zhang, Y.-Q., Fraser, M.D., Gagliano, R.A., Kandel, A.: Granular neural networks for numerical-linguistic data fusion and knowledge discovery. IEEE Transactions on Neural Networks 11, 658-667 (2000)
13. Zhang, Y.-Q., Jin, B., Tang, Y.: Granular neural networks with evolutionary interval learning. IEEE Transactions on Fuzzy Systems 16-2, 309-319 (2008)