saeide hajighasemi - Academia.edu (original) (raw)

Papers by saeide hajighasemi

This paper presents the designing and simulation for vertical moving control of Unmanned Air Vehi... more This paper presents the designing and simulation for vertical moving control of Unmanned Air Vehicles (UAV) system using Proportional Integral Derivative (PID) control method, Linear Quadratic Regulator (LQR) control method and fuzzy logic control technique.The UAV system pose a challenger control problem that in it precise model of system is non-linear. The conventional PID controller, the LQR controller, Fuzzy Logic Controller (FLC) and Self-Tuning Fuzzy PID controller are designned based on the dynamic modeling of the system is derived from a suitable mathematical model to describe the vertical motion of a UAV. Simulation results in Matlab and Simulink show that by using self-tuning Fuzzy PID, the performance of vertical moving control system is improved significantly compared to Other controllers. Keyword: Fuzzy logic control

In this paper,we will introduce a kind of fuzzy Volterra-Fredholm integral equation of the second... more In this paper,we will introduce a kind of fuzzy Volterra-Fredholm integral equation of the second kind. We investigate existance and uniqueness of solution of them.

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015

This paper proposes a new fuzzy similarity measure to calculate the degree of similarity of gener... more This paper proposes a new fuzzy similarity measure to calculate the degree of similarity of generalized fuzzy numbers (GFN's).The fuzzy similarity measure is developed by integrating the concept of centre of gravity (COG) points and fuzzy difference of distance of points of fuzzy numbers. A fuzzy description for difference of distances between fuzzy numbers in its turn exploits appropriate similarity measure between the pattern sets when compared with other measures available. It greatly reduces the influence of inaccurate measures and provides a very intuitive quantification. Several sets of pattern recognition problems and a fingerprint matching problem are taken to compare the proposed method with the existing similarity measures. Our approach gives a better and more robust similarity measure.

In this paper, at first the distance measure entitled generalized Hausdorff distance is defined b... more In this paper, at first the distance measure entitled generalized Hausdorff distance is defined between two trapezoidal generalized fuzzy numbers (TGFNs) that has been introduced by Chen. Then by using a new distance measure has been introduced for a new fuzzy distance measure for (TGFNs). Finally the fuzzy similarity measure is defined and the concept is illustrated by solving several testing examples. Also the basic properties of the above mentioned fuzzy similarity measure are proved in detail.

In this paper, we will introduce a kind of Fuzzy Fredholm-Voltera integral equation of the second... more In this paper, we will introduce a kind of Fuzzy Fredholm-Voltera integral equation of the second kind. we investigate existance and uniqueness of solution of them.

Communications on Advanced Computational Science with Applications, 2013

In this paper, first of all the distance measure entitled generalized Hausdorff distance is defin... more In this paper, first of all the distance measure entitled generalized Hausdorff distance is defined between two trapezoidal generalized fuzzy numbers (TGFNs) that has been introduced by Chen [9]. Then using a other distance and combining with generalized Hausdorff distance, the similarity measure is defined. The basic properties of the above mentioned similarity measure are proved in detail. Finally the concept is illustrated by solving several testing examples. Finally we rank two generalized fuzzy numbers using the similarity measure between them.

Applied Mathematical Modelling, 2008

In this paper we introduce an algebraic fuzzy equation of degree n with fuzzy coefficients and cr... more In this paper we introduce an algebraic fuzzy equation of degree n with fuzzy coefficients and crisp variable, and we present an iterative method to find the real roots of such equations, numerically. We present an algorithm to generate a sequence that can be converged to the root of an algebraic fuzzy equation.

International Journal of Electrical and Computer Engineering (IJECE), 2013

In this paper,we will investigate existence and uniqueness of solution of fuzzy Volterra integral... more In this paper,we will investigate existence and uniqueness of solution of fuzzy Volterra integral equation of the second kind.

Communications in Computer and Information Science, 2010

Abstract. In this paper, we will investigate existence and uniqueness of solutions of fuzzy Volte... more Abstract. In this paper, we will investigate existence and uniqueness of solutions of fuzzy Volterra integrro-differential equations of the second kind with fuzzy kernel under strongly generalized differentiability. To this end, some new results are derived for Hausdorff metric. ... Keywords: Fuzzy integro-differential equations, Fuzzy valued functions, Hausdorff metric. ... The fuzzy differential and integral equations are important part of the fuzzy analysis theory and they have the important value of theory and application in control theory. Seikkala in [14] defined the fuzzy ...

Journal of Fuzzy Set Valued Analysis, 2014

This study presents an approximate approach for ranking fuzzy numbers based on the centroid point... more This study presents an approximate approach for ranking fuzzy numbers based on the centroid point of a fuzzy number and its area. The total approximate is determined by convex combining of fuzzy number's relative and its area that based on decision maker's optimistic perspectives. The proposed approach is simple in terms of computational efforts and is efficient in ranking a large quantity of fuzzy numbers. By a group of examples in [3] demonstrate the accuracy and applicability of the proposed approach. Finally by this approach, a new distance is introduced between two fuzzy numbers.

Data Envelopment Analysis and Decision Science, 2014

In this paper, first of all the distance measure entitled generalized Hausdorff distance is defin... more In this paper, first of all the distance measure entitled generalized Hausdorff distance is defined between two generalized fuzzy numbers that has been introduced by Chen [3]. Then using another distance and combining it with the generalized Hausdorff distance, a fuzzy distance measure is introduced with the help of fuzzy distance measure proposed in [1] to generalize fuzzy numbers. The concept is illustrated by solving several testing examples.

Communications in Computer and Information Science, 2010

The methods of measuring of distance between fuzzy numbers have became im-portant due to the sign... more The methods of measuring of distance between fuzzy numbers have became im-portant due to the significant applications in diverse fields like remote sensing, data mining, pattern recognition and multivariate data analysis and so on. Sev-eral distance measures for precise ...

Neural Computing and Applications, 2012

In this paper, first of all the distance measure entitled generalized Hausdorff distance is defin... more In this paper, first of all the distance measure entitled generalized Hausdorff distance is defined between two trapezoidal generalized fuzzy numbers that has been introduced by Chen [9]. Then using a other distance and combining with generalized Hausdorff distance, the similarity measure is defined. The basic properties of the above-mentioned similarity measure are proved in detail. Finally, the concept is illustrated by solving several testing examples.

Mathematical Problems in Engineering, 2013

This study presents an approximate approach for ranking fuzzy numbers based on the centroid point... more This study presents an approximate approach for ranking fuzzy numbers based on the centroid point of a fuzzy number and its area. The total approximate is determined by convex combining of fuzzy number’s relative and its area that is based on decision maker’s optimistic perspectives. The proposed approach is simple in terms of computational efforts and is efficient in ranking a large quantity of fuzzy numbers. A group of examples by Bortolan and Degani (1985) demonstrate the accuracy and applicability of the proposed approach. Finally by this approach, a new measure is introduced between two fuzzy numbers.

Int. J. Industrial Mathematics Vol, 2012

Using fuzzy Laplace transform method, the solution of fuzzy convolution Volterra integral equatio... more Using fuzzy Laplace transform method, the solution of fuzzy convolution Volterra integral equation (FCVIE) of the second kind with convolution fuzzy and crisp kernel is investigated. So, fuzzy convolution operator is proposed and related theorem is submitted which is useful for solving FCVIEs. Finally, several illustrative examples with fuzzy and crisp convolution kernels are given to show the ability of the proposed method. Keywords: Fuzzy convolution integral equation of the second kind; Fuzzy Laplace transform method; Fuzzy ...

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015

Communications on Advanced Computational Science with Applications, 2013

Applied Mathematical Modelling, 2008

International Journal of Electrical and Computer Engineering (IJECE), 2013

Communications in Computer and Information Science, 2010

Journal of Fuzzy Set Valued Analysis, 2014

Data Envelopment Analysis and Decision Science, 2014

In this paper, first of all the distance measure entitled generalized Hausdorff distance is defin... more In this paper, first of all the distance measure entitled generalized Hausdorff distance is defined between two generalized fuzzy numbers that has been introduced by Chen [3]. Then using another distance and combining it with the generalized Hausdorff distance, a fuzzy distance measure is introduced with the help of fuzzy distance measure proposed in [1] to generalize fuzzy numbers. The concept is illustrated by solving several testing examples.

Communications in Computer and Information Science, 2010

Neural Computing and Applications, 2012

In this paper, first of all the distance measure entitled generalized Hausdorff distance is defin... more In this paper, first of all the distance measure entitled generalized Hausdorff distance is defined between two trapezoidal generalized fuzzy numbers that has been introduced by Chen [9]. Then using a other distance and combining with generalized Hausdorff distance, the similarity measure is defined. The basic properties of the above-mentioned similarity measure are proved in detail. Finally, the concept is illustrated by solving several testing examples.

Mathematical Problems in Engineering, 2013

This study presents an approximate approach for ranking fuzzy numbers based on the centroid point... more This study presents an approximate approach for ranking fuzzy numbers based on the centroid point of a fuzzy number and its area. The total approximate is determined by convex combining of fuzzy number’s relative and its area that is based on decision maker’s optimistic perspectives. The proposed approach is simple in terms of computational efforts and is efficient in ranking a large quantity of fuzzy numbers. A group of examples by Bortolan and Degani (1985) demonstrate the accuracy and applicability of the proposed approach. Finally by this approach, a new measure is introduced between two fuzzy numbers.

Int. J. Industrial Mathematics Vol, 2012