Journal of Intelligent & Fuzzy Systems - Volume 31, issue 1

Authors: Kumar, Ch Ravi | Sudha, K.R. | Pushpalatha, D.V.

Article Type: Research Article

Abstract: The robot manipulators are highly nonlinear, time varying and one of the important challenges in the field of robotics is the effective control of manipulators. This paper presents a technique to extract the rules of Fuzzy Logic Computed Torque Controller for PUMA-560 robot arm with uncertainties. Fuzzy Logic Controllers are placed at the input of the PD Controller to make the gains adaptive. Prisoner’s dilemma is employed to systematically tune the gains of the controller. The interrelations between inputs and outputs of a Fuzzy Linguistic Model are assigned using payoff matrix through Prisoner’s Dilemma. The difficulty in designing of fuzzy …controllers is the extraction of the rule base. The extraction of fuzzy control rules requires good understanding of the plant and control theory. The present paper utilizes Fuzzy Lyapunov Synthesis to constitute the rule base assuming that minimal knowledge about the plant to be controlled. Simulation results prove the effective performance of the proposed controller in minimizing the error in joint angles when compared to Proportional Derivative Computed Torque Controller (PD-CTC), normal Fuzzy Logic Controller (FLC) and that of the reference signal. Show more

Keywords: PUMA-560 robot manipulator, fuzzy controller, Prisoner’s dilemma, Lyapunov synthesis

DOI: 10.3233/IFS-162147

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 345-355, 2016

Authors: Najafi, Ardavan | Borumand Saeid, Arsham | Eslami, Esfandiar

Article Type: Research Article

Abstract: In this paper, the notions of commutators and pseudo commutators of elements (subsets) of a BCI -algebra are introduced and some properties are given. The concept of solvable BCI -algebras are also discussed and their properties are investigated. It is proved that the class of solvable BCI -algebras is closed under sub-algebra, cartesian product and inverse image operations.

Keywords: BCI-algebras, (pseudo) commutators, derived sub-algebra, solvable BCI-algebras

DOI: 10.3233/IFS-162148

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 357-366, 2016

Authors: Mehrtash, Mahdi | Kouhanjani, Masoud Jokar | Mohammadi, Mohammad

Article Type: Research Article

Abstract: Security-constrained economic dispatch (SCED) which is used to minimize the operation cost of the committed units with the constraints of power balance, ramp rate, and unit capacity is one of the routine challenges in power system operation. In this paper, a nonparametric estimation method based on kernel density and linear diffusion is proposed to obtain continuous probability density functions for probabilistic SCED outcomes. It is assumed that the probabilistic SCED problem is the second stage of a two-stage problem, while stochastic security-constrained unit commitment is the first stage. To evaluate the efficacy of the proposed method, a 6-bus test system …and IEEE 118-bus system are used as case studies. Implementing the proposed method on these case studies demonstrates the accuracy of the proposed method for large scale power systems. Show more

Keywords: Benders’ decomposition, kernel density estimation, linear diffusion method, probabilistic security-constrained economic dispatch, security-constrained unit commitment

DOI: 10.3233/IFS-162149

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 367-378, 2016

Authors: Farshi, M. | Davvaz, B.

Article Type: Research Article

Abstract: In this article, after describing some examples to explain the concept of fuzzy multiplicative (m , n )-hyperrings (F (m ,n ) -hyperrings), we will offer some related properties. Also, by defining F -hyperideals and regular relations, we will study the quotient of multiplicative F (m ,n ) -hyperrings. Finally, we will generalize the classical isomorphism theorems of groups to multiplicative F (m ,n ) -hyperrings.

Keywords: Fn-hyperoperation, Fm-polygroup, Fn-semihypergroup, multiplicative F(m,n)-hyperring, F-hyperideal

DOI: 10.3233/IFS-162151

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 379-390, 2016

Authors: Wang, Guixiang | Shi, Peng | Agarwal, Ramesh K. | Shi, Yan

Article Type: Research Article

Abstract: In this paper, the operations of fuzzy ellipsoid numbers and the direct relationship between the joint membership function and the edge membership functions are investigated. First, we prove that the general scalar multiplication (defined by Zadeh’s expansion) of fuzzy ellipsoid numbers preserves the closeness of the operation, but the general addition (defined by Zadeh’s expansion) does not preserve the closeness of the operation. Then, a new addition “⊕” of fuzzy ellipsoid numbers is defined, and it is shown that the new addition “⊕” preserves the closeness of the operation, and is the best approximation of the general addition operation in …all addition operations which preserves the closeness of the operation for fuzzy ellipsoid numbers. Next, a bijection is established between fuzzy n -ellipsoid number space and n dimension fuzzy vector space. Furthermore a formula is obtained to express the edge membership functions with the joint membership function, and an iterative algorithm is proposed to calculate the joint membership function value as the edge membership functions are known, and the convergence of the iterative algorithm is demonstrated. Show more

Keywords: Fuzzy numbers, fuzzy cell numbers, fuzzy ellipsoid numbers, operations of fuzzy numbers, membership functions

DOI: 10.3233/IFS-162152

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 391-403, 2016

Authors: Zhai, Junhai | Zhao, Wenxiu

Article Type: Research Article

Abstract: Probabilistic neural network (PNN) is simple and can be easily implemented. PNN has fast learning speed, and its outputs are posterior probabilities which facilitate the combination of classifiers with fuzzy integral. In this paper, we proposed a face recognition algorithm named EPNN, which combine PNN classifiers with fuzzy integral, and can make full use of the superiority of PNN and ensemble learning. The proposed method includes three stages: (1) the incomplete wavelet packet decomposition of face images; (2) training PNN classifiers with wavelet sub-images with low frequency components. (3) combination of the trained PNN classifiers by fuzzy integral. Compared with …four matrix subspace algorithms, the proposed method can obtain competitive performance. Such as, it can improve the accuracy of face recognition with less CPU time. The experimental results on JAFFE, YALE, ORL and FERET confirm that the proposed method outperform the four matrix subspace algorithms. Show more

Keywords: Probabilistic neural networks, ensemble learning, face recognition, fuzzy integral, wavelet transform

DOI: 10.3233/IFS-162153

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 405-414, 2016

Authors: Gnana King, G.R. | Jensha Haennah, J.H.

Article Type: Research Article

Abstract: In this paper a hybrid compression using precoding block and Fast Stationary Wavelet Transformation have been proposed for standard and compound images. The proposed method is the extension of transformation based compression process. It has two operations 1. precoding, 2. transformation. The first process is precoding in which the original image is divided into (n×n) non overlapping blocks then each block is combined with the precoding block, which have different level of gray values. When the original pixel value is nearer to the precoding block element, then the original pixel value is rounded near the precoding element data. Secondly the …precoded image data has been transformed by FSWT (Fast Stationary Wavelet Transformation) and got the energy compaction.The proposed technique is dually reduce the size of the information by precoding block and transformation. So it is very much suitable for compressing all types of images. Show more

DOI: 10.3233/IFS-162154

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 415-421, 2016

Authors: Hevin Rajesh, D. | Paramasivan, B.

Article Type: Research Article

Abstract: In cluster based wireless sensor networks the existing technique does not offer security to the cluster head. The communication between the cluster head and the sink is not secured. Also, the technique to prevent malicious cluster head is not provided. In this paper, we propose to design a cluster based secure authentication technique based on ant colony optimization in wireless sensor networks. Initially the sensor nodes are authenticated before they are deployment in the network. The authenticated sensor node with maximum energy and trust value is selected as Cluster Head (CH). The distance among the cluster member and cluster head …is estimated using the ant colony optimization (ACO) technique. The estimated distance, trust value and energy consumed by each cluster member are taken as input over fuzzy logic technique to select the secure node for data aggregation. The aggregated data is delivered from the CH to the Base Station (BS) attached with a message authentication code (MAC). By simulation results, we show that the proposed technique improves the secured data communication in the network. Show more

Keywords: Ant colony optimization (ACO) technique, WSN, cluster based secure authentication technique, message authentication code, clustering

DOI: 10.3233/IFS-162155

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 423-432, 2016

Authors: Sridevi, S. | Nirmala, S.

Article Type: Research Article

Abstract: Despite multitude of research ponders on despeckling ultrasound images, contriving an efficient despeckling method still exist as an open challenge. The presence of speckle noise in ultrasound images complicates the accuracy of disease diagnosis. The classical Rayleigh Maximum Likelihood Estimation (RMLE) based despeckling filter was exclusively proposed to despeckle ultrasound images. It provides proper tradeoff between speckle suppression and edge preservation by discriminating the image region as edge and background correspondingly. Many despeckling filters utilize various statistical measures which remains uncertain in order to distinguish between image edge region and background region. This proposed filter harness the Fuzzy inference rules …based image connectivity measure to avoid ambiguity in image region discrimination and adapts an appropriate tuning parameter to modify classical RMLE despeckling. The proposed method involves three steps in which the first step uses Fuzzy inference rules to categorize the type of image area as edge and background. Second step involves recursive optimal selection of appropriate filter tuning parameter by using adaptive technique. Third step involves estimation of noise-free pixels by using RMLE formulation. Quantitative evaluation was made by considering various performance metrics to compare the proposed filter and existing filters. The obtained result demonstrates that the proposed filter predominantly preserves the edges structures and clinical features. Show more

Keywords: Fuzzy connectedness, despeckling, maximum likelihood estimator, Rayleigh distribution, spatial tuning

DOI: 10.3233/IFS-162157

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 433-441, 2016

Authors: Aggarwal, Shashi | Sharma, Uday

Article Type: Research Article

Abstract: In this paper, a new concept of deviation distance and deviation degree between two closed intervals is being introduced. A new algorithm has been proposed to solve a Fully Fuzzy Multiobjective Linear Programming (FFMOLP) problem with all the constraints as fuzzy inequalities. In the algorithm, the FFMOLP problem is transformed into Crisp Nonlinear Programming (CNLP) problem by using the proposed concept of deviation degree, fuzzy nearest interval approximation, and goal programming (GP) technique. Then, it is proved that the δ -optimal solution of the CNLP problem is the fuzzy Pareto optimal solution of FFMOLP problem. Finally, to illustrate our method …and to show its effectiveness, numerical examples are solved and are compared with the existing methods. Show more

Keywords: Fully fuzzy multiobjective linear programming problem, deviation distance, deviation degree, goalprogramming

DOI: 10.3233/IFS-162158

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 1, pp. 443-455, 2016