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Resolution of single-variable fuzzy polynomial equations and an upper bound on the number of solutions.
- Source :
-
Soft Computing - A Fusion of Foundations, Methodologies & Applications . Feb2019, Vol. 23 Issue 3, p837-845. 9p. - Publication Year :
- 2019
-
Abstract
- In this paper, the single-variable fuzzy polynomial equations are studied. We firstly define two solution types for the equations, called solution and r-cut solution. Then, sufficient and necessary conditions are proposed for existence of the solution and r-cut solution of the equations, respectively. Also, a new algorithm is designed to find all the solutions and r-cut solutions of the equations using algebraic computations. Based on Descartes' rule of signs, we express and prove a fuzzy version of fundamental theorem of algebra to obtain the number of real roots of a single-variable fuzzy polynomial. Moreover, we present an upper bound on the number of solutions of the equations and show that each single-variable fuzzy polynomial equation has at most two distinct solutions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14327643
- Volume :
- 23
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Soft Computing - A Fusion of Foundations, Methodologies & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 134393497
- Full Text :
- https://doi.org/10.1007/s00500-017-2790-5