References - Expert Fuzzy Information Processing - page 235

215. Hathaway, R.J., Bezdek, J.C.: Switching regression models and fuzzy clustering.
IEEE Transactions on Fuzzy Systems 1(3), 195-203 (1993)
216. Turksen, I.B.: Fuzzy functions with LSE. Applied Soft Computing 8(3), 1178-1188
(2008)
217. Celikyilmaz, A.: Fuzzy functions with support vector machines. M.A.Sc Thesis, In-
formation Science, Industrial Engineering Department, University of Toronto (2005)
218. Celikyilmaz, A., Turksen, I.B.: Fuzzy functions with support vector machines. In-
formation Sciences 177(23), 5163-5177 (2007)
219. Yao, C.C., Yu, P.T.: Fuzzy regression based on asymmetric support vector machines.
Applied Mathematics and Computation 182, 175-193 (2006)
220. Shurygin, A.M.: Regression: a choice of a type of relation, efficiency and stability of
evaluations. Automation and telemechanics 6, 90-101 (1996)
221. Poleshuk, O.M., Komarov, E.G.: New defuzzification method based on weighted in-
tervals. In: Proceedings of the 27th International Conference of the North American
Fuzzy Information Processing Society, NAFIPS 2008, New York, May 19-22 (2008)
222. Poleshuk, O.M., Komarov, E.G.: Multiple hybrid regression for fuzzy observed data.
In: Proceedings of the 27th International Conference of the North American Fuzzy
Information Processing Society, NAFIPS 2008, New York, May 19-22 (2008)
223. Domrachev, V.G., Poleshchuk, I.A.: Building of a reference at the comparative
analysis of units with non-numerical characteristics. In: Records of Research and
Practice Conference, KBD-Info 2004, Sochi, pp. 56-58 (2005)
224. Domrachev, V.G., Poleshchuk, I.A.: Building of ranking scores on the basis of a
fuzzy conditional reference pattern. In: Records of Research and Practice Confer-
ence, IT - Innovations in education, Petrozavodsk, pp. 87-88 (2005)
225. Komarov, E.G., Poleshchuk, O.M., Poyarkov, N.G.: Definition of ranking score of
entrants at initial fuzzy information. In: Records of Research and Practice Confer-
ence, KBD-Info-2005, Sochi, pp. 221-224 (2005)
226. Domrachev, V.G., Komarov, E.G., Poleshchuk, O.M., Poyarkov, N.G.: Application
of methods of the fuzzy cluster analysis for improving of examination paper check
quality. Ibid, 224-226
227. Komarov, E.G., Poyarkov, N.G.: Models of processing of the information of testing
measures at a stage of pre-higher education training. Bulletin of Moscow State For-
estry University — Forestry bulletin 1(43), 175-178 (2006)
228. Poleshchuk, I.A.: About connection between a fuzziness of the conditions superim-
posed on an information aggregation operator, and a fuzziness of a class of k-ary
logic functions defined by these conditions. Ibid, 1061-1062
229. Poleshchuk, I.A.: About determination of an adequate operator of aggregation of the
information. In: Records of Research and Practice Conference, KBD-Info-2004,
Sochi, pp. 48-49 (2004)
230. Poleshchuk, I.A.: Selection of an adequate operator of aggregation of the information
from a class of of k-ary logic functions. Bulletin of Moscow State Forestry
University — Forestry bulletin 1(43), 170-174 (2006)