Journal of Intelligent & Fuzzy Systems - Volume 30, issue 3

Authors: Zhong, Yu-Guang | Lv, Xiao-Xiao | Zhan, Yong

Article Type: Research Article

Abstract: To ensure effective hull assembly line production, it is vital to consider the problems on delivery date of order and sequencing complexity within mixed-model production environments. In this paper two criteria are considered for stratified optimization according to their importance: to minimize the satisfaction ratio of delivery date, and to minimize the complexity degree of the system arising from its state frequent changes. Finding an optimal solution for this complicated problem in reasonable computational time is cumbersome. Therefore, this paper presents an improved particle swarm optimization (IPSO) algorithm to solve the multi-objective sequencing problems. Instead of modeling the positions of …particles in a continuous value manner in traditional PSO, IPSO uses an encoding and decoding scheme of task-oriented assignment for representing the discrete input sequences of products. Furthermore, dynamic mutation operator and chaos strategy are introduced to help the particles escape from local optima and the strategy for population decomposition is proposed to further improve the efficiency of the optimization. Numerical simulation suggests that the proposed IPSO scheduler can provide obvious improvement on solution quality and running time. Finally, a case study of the optimization of a panel block assembly line was given to illustrate the effectiveness of the method. Show more

Keywords: Improved particle swarm optimization, multi-objective, satisfaction degree of delivery date, manufacturing complexity, hull mixed model assembly line sequencing

DOI: 10.3233/IFS-151854

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1461-1473, 2016

Authors: Charkhgard, Mohammad | Zarif, Mohammad Haddad

Article Type: Research Article

Abstract: The paper is concerned with the design of H∞ state estimator of a dynamical system based on fuzzy modeling. At first, a universal linear model is considered with some unknown variables. Since the variables are not time invariant in modeling of a real nonlinear system so they are modeled by fuzzy approximates with some free parameters. The system states constitute input variables of the fuzzy system. Then, a stable state and parameter estimator based on H∞ criterion and some circumstances is proposed. By assuming some conditions, it will be proved that the parameter estimator is just modified normalized …least mean squares (NLMS) algorithm which follows H∞ optimality. It is used for estimating the fuzzy model parameters. In this way, it reduces required tuning parameters of the filter. The proposed model can be used in signal processing such as time series and speech processing or in nonlinear circuit modeling. In this paper, suggested algorithm is implemented on a practical data gathered from a real nonlinear system. The results show stability, good performance, fast convergence time, and robustness to far initial conditions of the suggested estimator. For comparison, the proposed method is compared with the one in which the identified free parameters are not adjusting during estimation process. Show more

Keywords: Dual H∞ filter, fuzzy modeling, normalized LMS, state estimation, parameter estimation

DOI: 10.3233/IFS-151855

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1475-1488, 2016

Authors: Borzooei, R.A. | Hosseini, F. | Zahiri, O.

Article Type: Research Article

Abstract: In this paper, first we investigate some properties of L -ordered groups such as L -subgroup generated by an arbitrary subset and product of L -ordered groups. Then we introduce the notions of totally L -ordered group and strong totally L -ordered group, where L is a frame and some related results are obtained. We show that the set of all isomorphisms on a totally L -subgroup, forms an L -ordered group. Moreover, if it is a strong totally L -ordered group, then the set of all isomorphisms on it is an L -lattice ordered group.

Keywords: Fuzzy order, L-frame, L-lattice ordered group, totally L-ordered group

DOI: 10.3233/IFS-151856

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1489-1498, 2016

Authors: Miloud, Hamani | Abdelouahab, Hassam

Article Type: Research Article

Abstract: In this paper, a new approach is developed for contributing in solving the problem of autonomous mobile robot navigation in unknown environments. This approach is built upon combining fuzzy reasoning and virtual obstacle algorithm to overcome the local minimum problem encountered in presence of concave obstacles by efficiently coordinating priorities between multiple reactive behaviors such as goal reaching, obstacles avoiding, wall following and emergency situations preventing. To achieve this objective, an array of ultrasonic sensors is mounted on the mobile robot providing the distance information between the robot and obstacles. This distance information is used by the virtual obstacle algorithm …to calculate some sub-goals for determining the good motion direction to avoid robot trap in local region (emergency situation), since the fuzzy reasoning is used for behavior control of the mobile robot. All the reactive behaviors are mapped into one universe of discourse to guarantee a smooth transition between them especially when the robot moves through closely spaced obstacles. In this manner, the robot oscillations are significantly reduced. Some simulation results are presented to show the ability of the developed approach in performing successfully in complex and uncertain environments. Show more

Keywords: Fuzzy reasoning, behavior control, emergency situation, virtual obstacle algorithm, local minimum recovery

DOI: 10.3233/IFS-151857

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1499-1509, 2016

Authors: Mursaleen, M. | Srivastava, H.M. | Sharma, Sunil K.

Article Type: Research Article

Abstract: The main object of this paper is to define certain new spaces of statistically convergent and strongly summable sequences of fuzzy numbers. We give necessary and sufficient conditions for a sequence of fuzzy numbers to be fuzzy λ -statistically pre-Cauchy and fuzzy λ -statistically convergent. We also establish some inclusion relations between the associated sets w F  (M , p , λ ) and S F  (λ ) supported by some numerical examples.

Keywords: Fuzzy numbers, Fuzzy sequences, Orlicz function, Cauchy sequence, λ-statistically pre-Cauchy sequence

DOI: 10.3233/IFS-151858

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1511-1518, 2016

Authors: Ohlan, Anshu

Article Type: Research Article

Abstract: The aim of this paper is to introduce an exponential methodology for measuring the degree of divergence between two intuitionistic fuzzy sets. For this, an intuitionistic fuzzy exponential divergence measure is proposed and its important properties are discussed axiomatically. In addition, the applicability and efficiency of the proposed intuitionistic fuzzy exponential divergence measure have been demonstrated by comparing with existing intuitionistic fuzzy divergence measures using a numerical example in the framework of pattern recognition. Further, a method to solve multi-attribute decision making problem using the proposed divergence measure in intuitionistic fuzzy environment is presented with an illustrative example. Lastly, a …comparative study of the proposed method with the existing TOPSIS and MOORA methods of multi-attribute decision making in an intuitionistic fuzzy environment is presented. Show more

Keywords: Intuitionistic fuzzy set, discrimination information measure, intuitionistic fuzzy divergence measure, multi-attribute decision making (MADM)

DOI: 10.3233/IFS-151859

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1519-1530, 2016

Authors: Wang, Yong-Hai | Li, Li

Article Type: Research Article

Abstract: In this paper, motivated by the Einstein operations and Bonferroni mean, we investigate the multiple attribute decision making problems for evaluating the enterprise risk with the hesitant fuzzy linguistic information. Then, we propose the hesitant fuzzy linguistic Einstein Bonferroni mean (HFLEBM) operator. Then, we have utilized the HFLEBM operator to develop an approach for evaluating the enterprise risk with the hesitant fuzzy linguistic information. Finally, a practical example for evaluating the Enterprise risk is given.

Keywords: Multiple attribute decision making, hesitant fuzzy linguistic sets, hesitant fuzzy linguistic Einstein Bonferroni mean (HFLEBM) operator, hesitant fuzzy linguistic weighted Einstein Bonferroni mean (HFLWEBM) operator, enterprise risk

DOI: 10.3233/IFS-151860

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1531-1536, 2016

Authors: Shah, Tariq | Razzaque, Asima | Rehman, Inayatur

Article Type: Research Article

Abstract: Molodtsov developed the theory of soft sets which can be seen as an effective tool to deal with uncertainties. Since the introduction of this concept, the application of soft sets has been restricted to associative algebraic structures (groups, semigroups, associative rings, semi-rings etc). Acceptably, though the study of soft sets, where the base set of parameters is a commutative structure, has attracted the attention of many researchers for more than one decade. But on the other hand there are many sets which are naturally endowed by two compatible binary operations forming a non-associative ring and we may dig out examples …which investigate a non-associative structure in the context of soft sets. Thus it seems natural to apply the concept of soft sets to non-commutative and non-associative structures. In present paper, we make a new approach to apply Molodtsov’s notion of soft sets to LA-ring (a class of non-associative ring). We extend the study of soft commutative rings from theoretical aspect. Show more

Keywords: Soft sets, LA-rings, Soft LA-rings, soft ideals, soft prime ideals, idealistics soft LA-rings, LA-ring homomorphism

DOI: 10.3233/IFS-151862

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1537-1546, 2016

Authors: Soleimanpour-Moghadam, Mohadeseh | Nezamabadi-pour, Hossein

Article Type: Research Article

Abstract: This paper presents a discrete quantum behaved gravitational search algorithm (DQGSA) which is used to provide a novel steganographic algorithm based on the spatial domain: Least Significant Bits (LSB). This approach improves the LSB matching method proposed by Mielikaien. Whereas Mielikaien’s method uses a binary function to reduce the number of changed pixel values, in suggested method a three-score system is proposed to assess the performance of different orders for LSB matching. Afterward, the proposed DQGSA is employed to search for an optimal solution among all the permutation orders. By employing the proposed method, the distortion of the stegano image …could be reduced while the probability of detection is decreased. The experimental results show that the proposed method achieves better performance than Mielikainen’s pair-wise LSB matching method in less distortion (means higher visual quality) and more preservation against steganalysis. Show more

Keywords: Information hiding, least significant bit (LSB) matching, quantum gravitational search algorithm (QGSA), steganography

DOI: 10.3233/IFS-151863

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1547-1556, 2016

Authors: Kan, Shuang | Guo, Fu | Li, Sen

Article Type: Research Article

Abstract: In this paper, we first introduce some operations on interval-valued intuitionistic uncertain linguistic sets, and further develop the induced interval-valued intuitionistic uncertain linguistic ordered weighted geometric (I-IVIULOWG) operator. We also establish some desirable properties of this operator, such as commutativity, idempotency and monotonicity. Then, we apply the induced interval-valued intuitionistic uncertain linguistic ordered weighted geometric (I-IVIULOWG) operator to deal with the interval-valued intuitionistic uncertain linguistic multiple attribute decision making problems. Finally, an illustrative example for evaluating the knowledge management performance is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords: Interval-valued intuitionistic uncertain linguistic numbers, operational laws, induced interval-valued intuitionistic uncertain linguistic ordered weighted geometric (I-IVIULOWG) operator, knowledge management performance

DOI: 10.3233/IFS-151864

Citation: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 3, pp. 1557-1565, 2016