Journal of Intelligent & Fuzzy Systems - Volume 37, issue 4

Authors: Shao, Zehui | Li, Zepeng | Wu, Pu | Chen, Lanxiang | Zhang, Xiaosong

Article Type: Research Article

Abstract: Superior to single-factor authentication, multi-factor authentication (MFA) provides enhanced security by requiring at least two factors to authenticate an entity. It has been studied extensively in recent years and has been applied to various fields. However, there is no adaptive and quantified method to evaluate the dynamic threats coming from different attacks. In this paper, we introduce fuzzy dominating set to model the multiple factors of privacy-preserving identities, and propose an adaptive MFA combinatorial model to achieve adaptive choosing one or multiple privacy-preserving identities to authenticate the user. Moreover, we propose an integer linear programming for solving the Fuzzy Domination …Model, and propose a greedy algorithm for Fuzzy Domination (GFD) and a primal dual greedy algorithm for Fuzzy Domination (PDFD) based on this integer linear programming. This work will reduce the gap between dynamic MFA and its practice applications. Finally, the effectiveness and efficiency of both algorithms in MFA are analyzed and experimental results demonstrate that PDFD is comparatively efficient and effective for solving instances with moderate orders. Show more

Keywords: fuzzy dominating set, information security, multi-factor authentication, fuzzy graph theory

DOI: 10.3233/JIFS-181859

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4979-4985, 2019

Authors: Ruan, Chuan-Yang | Li, Deng-Feng | Liao, Xiao | Wei, Qi | Li, Xiao-Dong

Article Type: Research Article

Abstract: In this paper, we investigate the hesitant fuzzy multi-attribute decision-making method based on entropy and prioritization relationship. Considering the double impact of priority levels of attributes and the dispersion degree of hesitant fuzzy elements, we propose a prioritized level weighted method based on entropy. The weighted method can guarantee a constant priority level of the attributes and distinguish the unity degree of expert opinions effectively. Then, we put forward the hesitant fuzzy prioritized level average (HFPLA) and hesitant fuzzy prioritized level geometric (HFPLG) operators based on the prioritized level weighted method. Furthermore, we discuss some desirable properties of the proposed …operators. Finally, the practicability and effectiveness of the proposed methods are verified by numerical examples. Show more

Keywords: Hesitant fuzzy set, aggregation operators, priority level, entropy

DOI: 10.3233/JIFS-181980

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4987-4998, 2019

Authors: Wang, Liqin | Zhang, Aofan | Wang, Peng | Dong, Yongfeng

Article Type: Research Article

Abstract: Automatic Image Annotation (AIA) aims to provide a semantic description for the content of image by assigning a set of textual labels. The recent approaches mainly focus on the improvement of single model and neglect the potential advantages of different models. In order to make full use of the advantages of different annotation models, Dual Model based on Multi-Label Selection Algorithm(DM-SA) is proposed in this research which combines a discriminative model with a nearest-neighbor-based model. The algorithm takes consideration of the advantages of each model, thus provides better annotation performance. A deep Convolutional Neural Network (CNN) is used to obtain …visual representation of images first, then a discriminative model, CNN with Label Smoothing (CNN-LS), and a nearest-neighbor-based model, 2PKNN with Canonical Correlation Analysis (2PKNN-CCA) generate candidate label set respectively. Finally, a multi-label selection algorithm based on inverse document frequency is adopted to assign the final labels from two candidate label sets. Experimental results based on Corel5K and IAPRTC-12 datasets show that the proposed method can achieve state-of-the-art performance for average recall, 0.52 and 0.42 on Corel5K and IAPRTC-12 respectively. Show more

Keywords: Automatic image annotation, deep learning, CNN, model fusion, multi-label selection

DOI: 10.3233/JIFS-182587

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4999-5008, 2019

Authors: Rashid, Sheikh | Gulistan, Muhammad | Jun, Young Bae | Khan, Salma | Kadry, Seifedine

Article Type: Research Article

Abstract:  The generalization of different types of fuzzy sets is on the way since the discovery of fuzzy sets by Zadeh 1965 based on mathematical logic. Some of them are, the interval-valued fuzzy sets, N -fuzzy sets and interval-valued N -fuzzy sets, where N -fuzzy sets are used to the co-domain [−1, 0] for the membership function. Cubic sets are the combination of interval-valued fuzzy sets and fuzzy sets presented in 2012 by Jun et al. Since the cubic sets considered only the positive aspects of a certain thing …in many physical problems and ignore the negative aspects totally. So to cover the negative part the need was felt to extend the concept of cubic sets along the co-domain [−1, 0]. Thus in this paper, we initiate a new theory by mixing the cubic sets with N-fuzzy sets and define the new notion of N -cubic sets. We are inspired by the hybrid nature of the cubic sets which can handle positive characteristics of a certain thing in a much better way as compared to the fuzzy sets. Whereas, our case will be more helpful in order to characterize the negative characteristics of a certain thing in a more affective way as compared to N -fuzzy sets. Motivating from the idea of cubic sets, we initiate to combine the interval-valued N -fuzzy sets and N -fuzzy sets to produce a new class of cubic sets known as N -cubic sets based on mathematical logics. We define N -cubic sets and define many different operations like P-union (resp., P-intersection) R-union (resp., R-intersection) and complement. The notions of external and internal N -cubic sets and related operations and properties are investigated. We discuss some algebraic properties of N -cubic sets and define some aggregation operators which will be helpful in order to find more algebraic and practical applications in the future. At the end we present a N -cubic-decision making Problem by using the developed procedure. Show more

Keywords: N-fuzzy sets, cubic sets, N-cubic sets, aggregation operators, applications

DOI: 10.3233/JIFS-182595

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5009-5023, 2019

Authors: Hu, Bo | Bi, Lvqing | Dai, Songsong

Article Type: Research Article

Abstract: This paper presents the notion of approximate orthogonality of complex fuzzy sets, which is a generalization of the existing concept. Based on the new concept, we present some basic properties of the approximate orthogonality of complex fuzzy sets. Furthermore, we discuss approximately orthogonality preserving with respect to complement, union and intersection operations of complex fuzzy sets.

Keywords: Complex fuzzy sets, operators, approximate orthogonality, approximately orthogonality preserving

DOI: 10.3233/JIFS-182643

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5025-5030, 2019

Authors: Zeng, Jiasheng | Wang, Pei

Article Type: Research Article

Abstract: Rough set theory (for short, RST) are widely applied to artificial intelligence. Fuzzy rough sets (for short, FRSs) are the results of approximation of fuzzy sets on a fuzzy approximation space. In this paper, L -fuzzy is briefly denoted by LF . We study a topological problem of FRSs based on residuated lattices, i.e., suppose that L is a complete residuated lattice, then when may the given LF -topology be consistent with the LF -topology induced by some preorder LF -relation? In order to answer this problem, the notion of LF -approximating spaces is introduced. Moreover, determinant conditions for …LF -topological spaces to be LF -approximating spaces are given. Show more

Keywords: LF-set, LF-topology, LF-approximation space, LF-rough set, LF-approximating space, (C1) and (C2) axioms

DOI: 10.3233/JIFS-182766

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5031-5038, 2019

Authors: Xiaobing, Yu | Xianrui, Yu | Hong, Chen

Article Type: Research Article

Abstract: Gravitational search algorithm (GSA) is inspired by swarm behaviors in nature and physical law based on Newtonian gravity and the laws of motion. There are two key parameters including the number of applied agents (Kbest ) and gravitational coefficient (G ) to control the search progress in the algorithm. In the conventional GSA, the acceleration of the agents is mainly determined by Kbest and G. Kbest and G are calculated by a monotonically decreasing function, which is not a good schedule for solving complex problems. In order to solve the problem and accelerate the convergence of …algorithm, an adaptive GSA is proposed, in which Kbest and G calculation method for strengthening exploitation capability are implemented to achieve better optimization results. Extensive experimental results based on benchmark functions are provided to show the effectiveness of the proposed method. The obtained results have been compared with the results of the original GSA, CGSA, and CLPSO. The comparison results have revealed that the proposed method has good performances. Show more

Keywords: Heuristic optimization algorithm, gravitational search algorithm, gravitational coefficient, global optimization

DOI: 10.3233/JIFS-182779

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5039-5047, 2019

Authors: Li, Yonghong | Li, Jiang | Duan, Huiming | Qiu, Dong

Article Type: Research Article

Abstract: The purpose of this paper is to study matroids on intuitionistic fuzzy sets, so as to generalize G  - V fuzzy matroids.The ranking, union and intersection between two intuitionistic fuzzy sets are firstly defined by using the similarity function h and the accuracy function H of the intuitionistic fuzzy value. Then a G  - V intuitionistic fuzzy matroid which can be regarded as an extension of G  - V fuzzy matroids is proposed. Particularly, the induced matroid sequence and the rank function of a G  - V intuitionistic fuzzy matroid and their properties are studied.

Keywords: Fuzzy set, intuitionistic fuzzy set, matroid, fuzzy matroid, G - V intuitionistic fuzzy matroid, rank function

DOI: 10.3233/JIFS-182798

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5049-5060, 2019

Authors: Shi, Fu-Gui | Fan, Chao-Zan

Article Type: Research Article

Abstract: In this paper, it is shown that an L -fuzzy soft set on X with a set E of parameters can be regarded as an L X -fuzzy set on E , and it can also be regarded as an L E -fuzzy set on X . Moreover an L E -fuzzy set on X can also be regarded as an L -fuzzy sets on E  × X . In particular, a soft set on X with a set E of parameters actually can be regarded as a 2E -fuzzy set or …a crisp subset of E  × X . This shows that the concept of (fuzzy) soft set is redundant. Further it is shown that the notions of soft groups, soft rings and fuzzy soft semigroups are respectively special cases of the corresponding L -fuzzy groups, L -fuzzy rings and L -fuzzy semigroups. Therefore, theoretical workers should stop working in these restrictive and complicated programs, while applied workers should transfer the need or appropriateness of (fuzzy) soft set notions to lattice-valued fuzzy sets or fuzzy sets of type 2. Show more

Keywords: L-fuzzy set, L-fuzzy soft set, soft set, fuzzy set of type 2, complete lattice isomorphism

DOI: 10.3233/JIFS-182828

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5061-5066, 2019

Authors: Kemal Ozdemir, M. | Esi, Ayhan | Subramanian, Nagarajan

Article Type: Research Article

Abstract: There are several notions of convergence of fuzzy number sequences in the literature. The aim of this paper is to introduce and study a new concept of the rough fuzzy ideal convergent triple sequences defined by Orlicz function. Also, some topological properties of the resulting sequence spaces of rough fuzzy numbers were examined.

Keywords: Triple sequences, rough convergence, fuzzy numbers, Orlicz function, difference sequence, duals, integral sequence, 40F05, 40J05, 40G05

DOI: 10.3233/JIFS-182832

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 5067-5073, 2019