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Resolution of single-variable fuzzy polynomial equations and an upper bound on the number of solutions.

Authors :
Farahani, Hamed
Paripour, Mahmoud
Abbasbandy, Saeid
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