Journal of Intelligent & Fuzzy Systems - Volume 35, issue 4

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 3929-3929, 2018

Authors: Fernández-Martínez, Manuel | Guirao, Juan L.G.

Article Type: Research Article

Abstract: In this paper, we highlight an intelligent system to properly construct a function between a pair of generalized-fractal spaces: the d -cube [0, 1] d endowed with its natural fractal structure, and the closed unit interval endowed with a natural-like fractal structure. Such a function allows the definition of space-filling curves by levels as well as the calculation of the box dimension of higher dimensional subsets through the box dimension of subsets on the real line.

Keywords: Fractal, fractal dimension, box-counting dimension, fractal structure, space-filling curve, Hilbert curve, Sierpinśki gasket

DOI: 10.3233/JIFS-169716

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 3931-3936, 2018

Authors: Li, Jinqiu | Chen, Wei | Yang, Zaoli | Li, Chuanyun | Sellers, J.S.

Article Type: Research Article

Abstract: For multi-attribute decision-making (MADM) problems with temporal characteristics and attribute values of interval-valued intuitionistic normal fuzzy numbers, dynamic interval-valued intuitionistic normal fuzzy weighted averaging (DIINFWA) operators are presented, and their properties are proved. Since attribute weights and time weights have both been unknown in MADM problems, we propose a dynamic interval-valued intuitionistic normal fuzzy MADM method. In this method, a combination weighting method of gray correlation analysis and the maximum deviation method are used to solve for attribute weights, comprehensively considering the subjective experience of decision-makers and objectives of decision data; time weights are decomposed into time-constant and time-variable weight …vectors. We determine time weights using the time function, combining information entropy and a logistic function. According to the algorithm of interval-valued intuitionistic normal fuzzy numbers, decision-making information in different time sequences are aggregated using the proposed DIINFWA operators. We construct a dynamic interval-valued intuitionistic normal fuzzy comprehensive decision matrix and use the VIKOR (Vlsekriterijumska Optimizacija I Kompromisno Resenje) method to obtain the optimal solution. Finally, the feasibility and significance of the presented method compared to existing methods are verified through analysis of numerical examples. Show more

Keywords: Decision analysis, gray correlation analysis, combination weighting method, DIINFWA operator, VIKOR method

DOI: 10.3233/JIFS-169717

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 3937-3954, 2018

Authors: Guo, Litao | Lin, Bernard L.S.

Article Type: Research Article

Abstract: Let G = (V , E ) be a connected graph. An edge set S ⊂ E is a 3-restricted edge cut, if G - S is disconnected and every component of G - S has at least three vertices. The 3-restricted edge connectivity λ 3 (G ) of G is the cardinality of a minimum restricted edge cut of G . A graph G is λ 3 -connected, if 3-restricted edge cuts exist. A graph G is called λ ′-optimal, if λ 3 (G ) = ξ …3 (G ), where ξ 3 ( G ) = min { | [ X , X ¯ ] | : X ⊂ V , | X | = 3 , G [ X ] is connected}. Furthermore, if every minimum 3-restricted edge cut is a set of edges incident to a set of three vertices, then G is said to be super 3-restricted edge connected or super-λ 3 for simplicity. Inverse degree of G is R ( G ) = ∑ v ∈ V 1 d ( v ) , where d (v ) denotes the degree of the vertex v . In this paper, we study the relation of inverse degree and super 3-restricted edge connected graphs. Show more

Keywords: Super-λ3 , networks, cut

DOI: 10.3233/JIFS-169718

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 3955-3958, 2018

Authors: Yao, Hejun

Article Type: Research Article

Abstract: This paper consider the design approach of guaranteed cost control for discrete uncertain networked systems with time delay. A novel sliding mode manifold that can compensate time delay has been designed by introducing a discrete compensator. Then, a guaranteed cost controller is designed to make the sliding mode manifold stable. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.

Keywords: Discrete, networked systems, sliding mode control, guaranteed cost control, time delay

DOI: 10.3233/JIFS-169719

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 3959-3969, 2018

Authors: Yang, Bo | Chen, Yang-an

Article Type: Research Article

Abstract: Taking the dynamic risk identification as the research object, propose a risk identification model of dynamic memory and variable fuzzy identify based on the immune mechanism extension, DRIBIEM. According to the dynamic risk characteristics which is complex and uncertain, DRIBIEM dynamically maps the intensity and frequency of risk to the concentration of antigen, based on the cell death pattern, stimulates immune memory, guides the evolution of antibodies and controls life cycle of identifier by antigen concentration which solves the problem that the traditional immune identification algorithm takes too long time, realizes the distributed automatic updating of identifiers and improves the …dynamic risk identification ability. Simulation results show that DRIBIEM fully reflects the dynamic characteristics of immune memory and can effectively identify the complex dynamic risks. Its feasibility can be verified in the practical application of dynamic risk identification. Show more

Keywords: Immune mechanism, dynamic risk identification (DRI), model, simulation

DOI: 10.3233/JIFS-169720

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 3971-3985, 2018

Authors: Wang, Xuefeng | Yang, Fang | LU, Dawei

Article Type: Research Article

Abstract: Urban distribution is regard as a time- and labor-consuming logistics activity which is critical to the residents’ daily life and municipal administration. To address this challenging practical problem, a novel multi-objective location-routing problem with simultaneous pickup and delivery is proposed. The problem seeks to minimize distribution operation cost and maximize service level by constructing a more effective logistics network. In the problem formulation, two types of delivery service modes and a fuzzy satisfaction function are use to describe the characteristics of urban distribution in real world application. To solve this specific problem, a hybrid heuristic algorithm combining tabu search and …efficient procedures is presented. Through evaluating the effects of time window and service mode, and comparing heuristics performance on solving problem instances, the experimental results demonstrate the validity of the proposed model formulation and heuristic approach. Show more

Keywords: Multi-objective, location-routing problem, simultaneous pickup and delivery, time window, urban distribution

DOI: 10.3233/JIFS-169721

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 3987-4000, 2018

Authors: Zhao, Jianhua | Liu, Ning | Malov, A.

Article Type: Research Article

Abstract: In order to improve the performance of semi-supervised learning, a kind of safe semi-supervised classification algorithm based active learning sampling strategy is proposed. First, an active learning sampling method based on uncertainty and representativenes is designed. The weighted algorithm combining the uncertainty and representativenesss is used to select the unlabeled samples with rich information and representation, providing for semi-supervised learning. Second, a method of label prediction based on grouping verification is designed. Prelabeling is executed on unlabeled sample selected by active learning. The sample with pseudo-label is added into the labeled sample set to carry out grouping, training and testing. …The corresponding errors of various pseudo-labels are calculated and the pseudo-label making the accuracy least is selected as the candidate label of the unlabeled sample. Third, a method of security verification is designed. Only the label making the accuracy lower than before is selected as the final label of the unlabeled sample to expand the number of labeled samples. Iterations are repeatedly executed until a certain precision is met. Finally, the classifier is trained using the final labeled set. The experiments are carried out on semi-supervised datasets and UCI datasets, and the results show that the proposed algorithms are effective. Show more

Keywords: Active learning sample, semi-supervised learning, safety, label prediction, grouping verification

DOI: 10.3233/JIFS-169722

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4001-4010, 2018

Authors: Dong, Sheng | Hou, Lei

Article Type: Research Article

Abstract: In this paper, we first give a new proof and a complement of the Hadamard-Fischer inequality, then present some results related to positive definite 3 × 3 block matrix and matrices whose numerical ranges are contained in a sector.

Keywords: Determinant inequality, the Hadamard-Fischer inequality, positive definite 3 × 3 block matrix, numerical range

DOI: 10.3233/JIFS-169723

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4011-4015, 2018

Authors: Xu, Jinsong | Smith, T.J.

Article Type: Research Article

Abstract: The current massive data storage and sharing algorithm based on file system and NIOT have not considered the heterogeneous and real-time characteristics of data in distributed and heterogeneous environment, which has the problems of high storage capacity, high time delay of data sharing, and poor security of data. To address this problem, massive data storage and sharing algorithm in distributed heterogeneous environment is proposed in this paper. Hierarchical analysis of distributed heterogeneous environment is carried out. By using the file system, database technology, and hybrid technology, with the heterogeneous and real-time characteristics of massive data in distributed heterogeneous architecture, a …three-level storage framework is obtained. Distributed storage algorithm is applied to save massive data. Through HBase-based massive data sharing algorithm in distributed heterogeneous environment, based on data integration mode of data warehouse, massive data sharing is achieved based on blackboard system to reduce data sharing delay. The node encryption unit is used to improve data security. Experimental results show that the proposed algorithm can reduce the occupancy rate of storage capacity, with stable storage speed and low sharing time delay. It can play a good role for data security. Show more

Keywords: Distributed heterogeneous environment, massive data, storage, sharing, distributed storage, HBase

DOI: 10.3233/JIFS-169724

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4017-4026, 2018