Journal of Intelligent & Fuzzy Systems - Volume 29, issue 4

Authors: Hussain, Iqtadar | Ahmed, Jameel | Hussain, Azkar

Article Type: Research Article

Abstract: An efficient image encryption technique based on one-time nonlinear component for block cipher is presented in this paper. Three S-Boxes are generated by complex chaotic system, whose initial values are dependent on both the random noise and the plain image. Each S-box randomly takes turns to encrypt one of the color components in each pixel adhering to the switching sequence, which is also generated by the complex chaotic system. Subsequently, the two-stage diffusion to process images is applied. The cipher image is expanded into two composed of selected four bit-planes and diffuse them at bit-level as first stage diffusion, then …reconstruct them as the input of block diffusion, which is served as second stage diffusion. The chaotic coupled map lattice employed in this method generate pseudo-random sequences in block diffusion phase. The experiment results and analysis have proved the novel image encryption method is practical and effective for encryption applications. Show more

Keywords: S-box, chaos, diffusion, image encryption

DOI: 10.3233/IFS-151628

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1493-1500, 2015

Authors: Bavafa, Farhad | Rahimi, Abdolah | Khooban, Mohammad Hassan

Article Type: Research Article

Abstract: Identification of nonlinear systems is one of the important problems in engineering. Chaotic systems are among those nonlinear systems that have been in the center of attention of many researchers because of their complex and unpredictable behaviors. This paper proposes an algorithm for optimally estimating the parameters of system by minimizing the mean of squared errors (MSE) index. In this paper, Teaching Learning Based Optimization (TLBO) algorithm is used for solving both offline and online parameter estimation problems for chaotic systems. The validity of this algorithm in terms of convergence speed and parameter accuracy in comparison to other popular optimization …algorithms such as Standard PSO (PSO), Differential Evolution (DE), Adaptive Particle Swarm Optimization (APSO) and Genetic Algorithm (GA) is shown through an illustrative example for the modeling of chaotic systems. Furthermore, in order to demonstrate the feasibility of this algorithm, it is applied to the problem of parameter identification of a well-known nonlinear Lorenz chaotic system. According to simulation results, the proposed algorithm is a very suitable algorithm for online parameter identification for a class of nonlinear chaotic systems. Show more

Keywords: Chaotic systems, hybrid heuristic algorithm, identification, Particle Swarm Optimization (PSO), Teaching Learning Based Optimization (TLBO), Adaptive Particle Swarm Optimization (APSO), Differential Evolution (DE), Genetic Algorithm (GA)

DOI: 10.3233/IFS-151629

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1501-1509, 2015

Authors: Zou, Yuan | Xiao, Zhi | Wang, Xianning

Article Type: Research Article

Abstract: Soft set theory originated by Molodtsov is an effective technique for dealing with uncertainties. In the framework of soft set theory, soft group is a key concept of algebraic theory of soft sets. The aim of this paper is provided an initial study of the linear representations of soft groups. The fundamental notions such as linear and matrix representations, equivalent representation, faithful representation, trivial representation of soft groups together with some illustrative examples are introduced. The concepts of soft invariant space, irreducible representation, completely reducible representation are proposed. And then the relationships among these concepts are demonstrated by means of …several related theorems. Show more

Keywords: Soft sets, soft mapping, soft groups, Soft homomorphism, linear representations, matrix representations

DOI: 10.3233/IFS-151630

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1511-1519, 2015

Authors: Zhang, Huarong | Li, Qingguo

Article Type: Research Article

Abstract: On residuated lattices, the notion of (∈ , ∈ ∨ q )-fuzzy t-filters is introduced and relative properties (e.g. Extension property, Triple of equivalent characteristics and Quotient characteristics) are uniformly covered by this simple general framework. The relations among (∈ , ∈ ∨ q )-fuzzy t-filters are investigated.

Keywords: Residuated lattice, t-filter, fuzzy t-filter, (∈ , ∈ ∨ q)-fuzzy t-filters

DOI: 10.3233/IFS-151631

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1521-1526, 2015

Authors: Agnihotri, SP | Waghmare, Laxman Madhavrao

Article Type: Research Article

Abstract: In this paper, hybrid technique proposed for tuning Time Delays System with proportional–integral–derivative (PID) controller. So, the performance and the robustness for a class of Time Delay System are improved. The proposed hybrid technique is the combination of the iterative algorithm and curve fitting technique. The proposed iterative algorithm is improved, performance of the feedback tuning iterative technique; so the computational complexity of the iterative algorithm reduced. By using the iterative technique, the best polynomial coefficients of curve fitting technique is determined. Using the curve fitting technique, the Time Delay System is tuned and the stability parameters of the system …is maintained. The curve fitting technique is one of the non linear programming techniques which can be constructed that approximately fits the data from the extract data. The proposed hybrid technique is implemented in MATLAB working platform and the tuning performance is evaluated. Then, the system performance of the proposed hybrid technique is compared with classical PID controller, Ziegler–Nichols tuning method. Show more

Keywords: Hybrid technique, iterative algorithm, curve fitting, PID controller, fractional order, time delay, and system

DOI: 10.3233/IFS-151632

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1527-1537, 2015

Authors: Yang, Xiao-Peng | Cao, Bing-Yuan | Zhou, Xue-Gang

Article Type: Research Article

Abstract: In this paper, a new order relation for ranking fuzzy numbers and the fully fuzzy linear programming (FFLP) problems with flexible constraints are proposed. Based on the new order relation, three algorithms are developed to deal with FFLP problems by converting them into some equivalent crisp linear programming problems. Algorithm 1 is employed for solving FFLP problem without flexible constraint, while Algorithms 2 and 3 are developed to deal with FFLP problem with flexible constraints. A numerical example is given to illustrate the feasibility and efficiency of our proposed algorithms.

Keywords: Fully fuzzy linear programming, flexible constraint, order relation, expected value

DOI: 10.3233/IFS-151633

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1539-1550, 2015

Authors: Alptekin, Gülfem Isiklar

Article Type: Research Article

Abstract: The electronic-book (e-book) is one of the new technological changes that has significantly influenced the publishing industry in the last century. This has forced publishers to reconsider their distribution channels, since the Internet has provided a new means with which to serve readers. In this paper, a strategic market analysis is proposed from the perspective of a traditional publisher that needs to decide whether to switch to e-publishing business. The analysis model determines the publishing market equilibrium in three different market scenarios. Besides, it shows the impact of readers’ choices and price sensitivities on the publishers’ profits. The proposed decision …support model has its basis on game theory and it is built in an oligopoly setting to reflect the severe market competition. The readers’ utilities and demands are modeled using the multinomial logit (MNL) model. Although the first scenario possesses a global optimum solution, in the remaining two market scenarios genetic algorithms (GAs) are used in order to find the solutions of the oligopolies. Numerical applications reveal the industry equilibrium point, where the sum of the profits of all publishers in the market is maximum. Show more

Keywords: Pricing decision, game theory, competitive market model, genetic algorithm, channel management, electronic book, dual channel

DOI: 10.3233/IFS-151634

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1551-1564, 2015

Authors: Wang, Hong | Cui, Pin-Zhi

Article Type: Research Article

Abstract: This study investigates a novel approach to knowledge reduction in interval-valued decision formal contexts. Applying rule acquisition, we formulate a new framework of knowledge reduction for interval-valued decision formal contexts and the presented framework can be applicable to any interval-valued decision formal contexts. Based on this reduction method, more compact decision rules that can imply all of those derived from the initial interval-valued decision formal contexts in the form of implication rules are obtained. Furthermore, a corresponding reduction method is developed by constructing a discernibility matrix and its associated Boolean function.

Keywords: Interval-valued decision formal contexts, large interval-valued concept lattices, knowledge reduction, rule acquisition

DOI: 10.3233/IFS-151635

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1565-1574, 2015

Authors: Khorramnia, Reza | Jahromi, Mohsen Ketabi | Karimi, Elham | Khorrami, Soroush Karimi | Jamali-Jam, Shahrokh

Article Type: Research Article

Abstract: One of the significant issues in the area of engineering is the modeling complex data with the target of prediction, classification, clustering, etc. Nevertheless, by the rapid growth of the technology, the high complexity and nonlinearity of the existing data is increased such that they put most of the traditional forecast models such as linear and nonlinear models prone to bias. In order to solve this issue, this paper suggest a newly introduced forecasting model called support vector regression (SVR) model to reach more accurate modeling and thus prediction of the complex data. In order to adjust the setting parameters …of this model, the clonal selection algorithm (CSA) as a powerful optimization tool is employed. In addition, a sufficient modification is proposed to improve the search ability of this algorithm effectively. The practical test data (from 230 kV substation of Southwest Iran) are employed to demonstrate the satisfying performance of the proposed hybrid model. Show more

Keywords: Support vector regression (SVR), clonal selection algorithm (CSA), modeling of complex data, modification method

DOI: 10.3233/IFS-151636

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1575-1580, 2015

Authors: Yi, Liu | Yang, Xu | Xiaomei, Zhong

Article Type: Research Article

Abstract: This paper focuses on multi-ary α-semantic resolution automated reasoning method based on multi-ary α-resolution principle for a lattice-valued logic with truth-value in a lattice implication algebra. Firstly, the definitions of the multi-ary α-semantic resolution and multi-ary α-semantic resolution deduction in LF  (X ) are given, respectively, the soundness and completeness of this ground case are gotten. Secondly, the validity of multi-ary α-semantic resolution method is analyzed. Thirdly, the algorithm for multi-ary α-semantic resolution methods based on lattice-valued first-order logic LF  (X ) is constructed. This work will provide a theoretical foundation for the more efficient resolution based automated reasoning in …lattice-valued logic. Show more

Keywords: Incomparability, lattice implication algebra, lattice-valued logic, automated reasoning, multi-ary α-semantic resolution, multi-ary α-semantic resolution deduction and soundness, completeness

DOI: 10.3233/IFS-151637

Citation: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 4, pp. 1581-1593, 2015