Neural net solutions to fuzzy problems: The quadratic equation

Abstract This paper continues our research on using neural nets to solve fuzzy equations. After outlining our general method of employing neural nets to solve fuzzy problems we concentrate on solving the fuzzy quadratic equation. We show how neural nets can produce both real, and complex, fuzzy number solutions.

[1]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[2]  James J. Buckley,et al.  Solving fuzzy equations , 1992 .

[3]  Ramon E. Moore.  Methods and applications of interval analysis , 1979, SIAM studies in applied mathematics.

[4]  J. Buckley,et al.  Solving linear and quadratic fuzzy equations , 1990 .

[5]  J. Buckley,et al.  Solving fuzzy equations: a new solution concept , 1991 .

[6]  J. Buckley,et al.  Solving systems of linear fuzzy equations , 1991 .

[7]  James J. Buckley,et al.  On using a-cuts to evaluate fuzzy equations , 1990 .

[8]  James J. Buckley,et al.  Solving fuzzy equations in economics and finance , 1992 .

[9]  Esfandiar Eslami,et al.  Solving fuzzy equations using neural nets , 1997, Fuzzy Sets Syst..

[10]  J. Buckley.  Joint solution to fuzzy programming problems , 1995 .

[11]  J. Buckley.  Fuzzy complex numbers , 1989 .