Salma Pirzada | Maharaja Sayajirao University of Baroda (original) (raw)

Salma Pirzada

Address: Vadodara, Gujarat, India

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Papers by Salma Pirzada

Research paper thumbnail of Newton Method for Solving the Multi-Variable Fuzzy Optimization Problem

Journal of Optimization Theory and Applications

In this article, we propose the Newton method to find a non-dominated solution of an unconstraine... more In this article, we propose the Newton method to find a non-dominated solution of an unconstrained multi-variable fuzzy optimization problem. For this purpose, we use the Hukuhara differentiability of fuzzy-valued functions and partial order relation on set of fuzzy numbers.

Research paper thumbnail of Necessary and sufficient optimality conditions for elliptic control problems with finitely many pointwise state constraints

ESAIM: Control, Optimisation and Calculus of Variations, 2008

Nonlinear unconstrained fuzzy optimization problem is considered in this paper. Using the concept... more Nonlinear unconstrained fuzzy optimization problem is considered in this paper. Using the concept of convexity and Hukuhara differentiability of fuzzy-valued functions, the necessary and sufficient optimality conditions are derived.

Research paper thumbnail of The Optimality Conditions for Single Variable Fuzzy-Valued Functions

In this article we consider the Non-linear single varible Fuzzy-valued functions with regards to ... more In this article we consider the Non-linear single varible Fuzzy-valued functions with regards to the total order relation defined on Fuzzy number space on the lines of [9]. Using this order relation and Hukuhara differentiability of fuzzy-valued functions we obtain the necessary and sufficient conditions for optimality of nonlinear single variable fuzzy-valued funcions.

Research paper thumbnail of Newton Method for Solving the Multi-Variable Fuzzy Optimization Problem

Journal of Optimization Theory and Applications

In this article, we propose the Newton method to find a non-dominated solution of an unconstraine... more In this article, we propose the Newton method to find a non-dominated solution of an unconstrained multi-variable fuzzy optimization problem. For this purpose, we use the Hukuhara differentiability of fuzzy-valued functions and partial order relation on set of fuzzy numbers.

Research paper thumbnail of Necessary and sufficient optimality conditions for elliptic control problems with finitely many pointwise state constraints

ESAIM: Control, Optimisation and Calculus of Variations, 2008

Nonlinear unconstrained fuzzy optimization problem is considered in this paper. Using the concept... more Nonlinear unconstrained fuzzy optimization problem is considered in this paper. Using the concept of convexity and Hukuhara differentiability of fuzzy-valued functions, the necessary and sufficient optimality conditions are derived.

Research paper thumbnail of The Optimality Conditions for Single Variable Fuzzy-Valued Functions

In this article we consider the Non-linear single varible Fuzzy-valued functions with regards to ... more In this article we consider the Non-linear single varible Fuzzy-valued functions with regards to the total order relation defined on Fuzzy number space on the lines of [9]. Using this order relation and Hukuhara differentiability of fuzzy-valued functions we obtain the necessary and sufficient conditions for optimality of nonlinear single variable fuzzy-valued funcions.

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