شماره ركورد كنفرانس :
4330
عنوان مقاله :
Inexact steepest descent algorithm for obtaining t-best approximation in a fuzzy n-normed linear space
عنوان به زبان ديگر :
Inexact steepest descent algorithm for obtaining t-best approximation in a fuzzy n-normed linear space
پديدآورندگان :
Asadpour Fazlallahi Mohammad assadpoor.math@gmail.com University of Tabriz , Ivaz Karim ivaz@tabrizu.ac.ir University of Tabriz
كليدواژه :
t , best approximation , fuzzy n , normed space , steepest descent
عنوان كنفرانس :
هفدهمين كنفررانس ملي سيستم هاي فازي، پانزدهمين كنفرانس ملي سيستم هاي هوشمند و ششمين كنگره ملي مشترك سيستم هاي فازي و هوشمند ايران
چكيده فارسي :
The main aim of this paper is to find t-best approximation in fuzzy n-normed
linear space via the optimization formulation. It is formulated as a constrained minimization
problem which is solved by using penalty method. Each penalty is solved by using inexact
steepest descent algorithm.
چكيده لاتين :
The main aim of this paper is to find t-best approximation in fuzzy n-normed
linear space via the optimization formulation. It is formulated as a constrained minimization
problem which is solved by using penalty method. Each penalty is solved by using inexact
steepest descent algorithm.