Journal of Intelligent & Fuzzy Systems - Volume 39, issue 3

Authors: Ni, Xun-You | Lu, Weite | Zhang, Chunqin | Liu, Yong | Zhao, Jing

Article Type: Research Article

Abstract: Parking spaces are insufficient and are plagued by over-consumption in hot areas. To assist drivers easily in identifying available parking spaces, parking variable message signs are commonly adopted to display information on space availability. This paper analyzes the performance of various information provision strategies. To achieve this objective, we first present the mechanisms of the information provision strategies. Then, the information provision strategies are classified into three categories: regular, symmetric, and discriminative. The regular strategies provide the collected parking information directly to drivers; the symmetric schemes employ the equal threshold values for all parking lots; and the discriminative schedules adopt …an independent threshold value for each parking lot. The threshold value provides an upper limit for the Space Occupancy Percentage (SOP): when the SOP is larger than the threshold value, the parking lot status becomes FULL; otherwise, it is displayed having available spaces. Finally, an agent-based simulation model is introduced to describe the parking and traffic conditions. The results indicate that both the symmetric and discriminative strategies significantly decrease the highest failure rate and average travel time, whereas the latter performs better. The results of this comparative analysis can assist in the configuration and operation of an urban parking guidance and information system. Show more

Keywords: Intelligent transportation system, parking VMS, display problem, provision strategies, agent-based simulation

DOI: 10.3233/JIFS-190962

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2725-2735, 2020

Authors: Zhang, Xia | Sun, Hao | Jin, Xuanzhu | Esangbedo, Moses Olabhele

Article Type: Research Article

Abstract: This paper focuses on a new model to reach the existence of equilibrium in a pure exchange economy with fuzzy preferences (PXE-FP). The proposed model integrates exchange, consumption and the agent’s fuzzy preference in the consumption set. We set up a new fuzzy binary relation on the consumption set to evaluate the fuzzy preferences. Also, we prove that there exists a continuous fuzzy order-preserving function in the consumption set under certain conditions. The existence of a fuzzy competitive equilibrium for the PXE-FP is confirmed through a new result on the existence of fuzzy Nash equilibrium for fuzzy non-cooperative games. The …payoffs of all strategy profiles for any agent are fuzzy numbers in fuzzy non-cooperative games. Finally, we show that the fuzzy competitive equilibrium could be characterized as a solution to an associated quasi-variational inequality, giving rise to an equilibrium solution. Show more

Keywords: Pure exchange economy, fuzzy preference, fuzzy utility function, fuzzy competitive equilibrium, quasi-variational inequality

DOI: 10.3233/JIFS-191011

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2737-2752, 2020

Authors: Zhou, Hui | Ren, Haiping

Article Type: Research Article

Abstract: In reliability field, the probabilities of basic events are often treated as exact values in conventional fault tree analysis. However, for many practical systems, because the concept of events may be ambiguous, the factors affecting the occurrence of events are complex and changeable, so it is difficult to obtain accurate values of the occurrence probability of events. Fuzzy sets can well deal with these situations. Thus this paper will develop a novel fault tree analysis method in the assumption of the values of probability of basic events expressed with triangular intuitionistic fuzzy numbers. First, a new ranking function of triangular …intuitionistic numbers is established, which can reflect the behavior factors of the decision maker. Then a novel fault tree analysis method is put forward on the basis of operational laws and the proposed ranking function of triangular intuitionistic numbers. Finally, an example of weapon system “automatic gun” is employed to show that the proposed fault tree analysis method is feasible and effective. Show more

Keywords: Fault tree analysis, triangular intuitionistic numbers, ranking function, bottom event

DOI: 10.3233/JIFS-191018

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2753-2761, 2020

Authors: Zeng, Biqing | Zeng, Feng | Yang, Heng | Zhou, Wu | Xu, Ruyang

Article Type: Research Article

Abstract: Aspect-based sentiment analysis (ABSA) is a hot and significant task of natural language processing, which is composed of two subtasks, the aspect term extraction (ATE) and aspect polarity classification (APC). Previous researches generally studied two subtasks independently and designed neural network models for ATE and APC respectively. However, it integrates various manual features into the model, which will consume plenty of computing resources and labor. Moreover, the quality of the ATE results will affect the performance of APC. This paper proposes a multi-task learning model based on dual auxiliary labels for ATE and APC. In this paper, general IOB labels, …and sentimental IOB labels are equipped to efficiently solve both ATE and APC tasks without manual features adopted. Experiments are conducted on two general ABSA benchmark datasets of SemEval-2014. The experimental results reveal that the proposed model is of great performance and efficient for both ATE and APC tasks compared to the main baseline models. Show more

Keywords: Multi-task learning, aspect term extraction, aspect polarity classification, sentiment classification

DOI: 10.3233/JIFS-191047

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2763-2774, 2020

Authors: Onasanya, B.O. | Atamewoue, T.S. | Hoskova-Mayerova, S.

Article Type: Research Article

Abstract: Fuzzy set theory and also the hypergroups in the sense of Marty are both generalizations of some existing mathematical concepts which are used for modeling many real life situations. The main purpose of this paper is the study of the link between fuzzy sets and fuzzy hypergroups and fuzzy semihypergroups. As a matter of fact, some commutative fuzzy hypergroups and fuzzy semihypergroups have been constructed from fuzzy set and some of their properties were investigated.

Keywords: Hypergroup, fuzzy sets, fuzzy hypergroup

DOI: 10.3233/JIFS-191054

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2775-2782, 2020

Authors: Hu, Qian | Qin, Ke-Yun

Article Type: Research Article

Abstract: The construction of concept lattices is an important research topic in formal concept analysis. Inspired by multi-granularity rough sets, multi-granularity formal concept analysis has become a new hot research issue. This paper mainly studies the construction methods of concept lattices in multi-granularity formal context. The relationships between concept forming operators under different granularity are discussed. The mutual transformation methods of formal concepts under different granularity are presented. In addition, the approaches of obtaining coarse-granularity concept lattice by fine-granularity concept lattice and fine-granularity concept lattice by coarse-granularity concept lattice are examined. The related algorithms for generating concept lattices are proposed. The …practicability of the method is illustrated by an example. Show more

Keywords: Multi-granularity, formal concept analysis, formal concept, formal concept lattice

DOI: 10.3233/JIFS-191090

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2783-2790, 2020

Authors: Li, Xingguang | Song, Wenjun | Liang, Zonglin

Article Type: Research Article

Abstract: In speech emotion recognition, most emotional corpora generally have problems such as inconsistent sample length and imbalance of sample categories. Considering these problems, in this paper, a variable length input CRNN deep learning model based on Focal Loss is proposed for speech emotion recognition of anger, happiness, neutrality and sadness in IEMOCAP emotional corpus. In this model, Firstly, a variable-length strategy is introduced to input the speech spectra of the filled speech samples into CNN. Then the effective part of the input sequence is preserved and output by masking matrix and convolution layer. Thirdly, the effective output of input sequence …is input into BiGRU network for learning. Finally, the focal loss is used for network training to control and adjust the contribution of various samples to the total loss. Compared with the traditional speech emotion recognition model, simulations show that our method can effectively improve the accuracy and performance of emotion recognition. Show more

Keywords: Speech emotion recognition, spectrograms, CRNN, focal loss

DOI: 10.3233/JIFS-191129

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2791-2796, 2020

Authors: Akram, Muhammad | Luqman, Anam | Al-Kenani, Ahmad N.

Article Type: Research Article

Abstract: An extraction of granular structures using graphs is a powerful mathematical framework in human reasoning and problem solving. The visual representation of a graph and the merits of multilevel or multiview of granular structures suggest the more effective and advantageous techniques of problem solving. In this research study, we apply the combinative theories of rough fuzzy sets and rough fuzzy digraphs to extract granular structures. We discuss the accuracy measures of rough fuzzy approximations and measure the distance between lower and upper approximations. Moreover, we consider the adjacency matrix of a rough fuzzy digraph as an information table and determine …certain indiscernible relations. We also discuss some general geometric properties of these indiscernible relations. Further, we discuss the granulation of certain social network models using rough fuzzy digraphs. Finally, we develop and implement some algorithms of our proposed models to granulate these social networks. Show more

Keywords: Rough fuzzy approximations, rough fuzzy digraphs, information granulation, algorithms

DOI: 10.3233/JIFS-191165

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2797-2816, 2020

Authors: Javan Bakht, Ahmad | Motameni, Homayun | Mohamadi, Hosein

Article Type: Research Article

Abstract: One of the most important problems in directional sensor networks is k -coverage in which the orientation of a minimum number of directional sensors is determined in such a way that each target can be monitored at least k times. This problem has been already considered in two different environments: over provisioned where the number of sensors is enough to cover all targets, and under provisioned where there are not enough sensors to do the coverage task (known as imbalanced k -coverage problem). Due to the significance of solving the imbalanced k -coverage problem, this paper proposes a learning …automata (LA)-based algorithm capable of selecting a minimum number of sensors in a way to provide k -coverage for all targets in a balanced way. To evaluate the efficiency of the proposed algorithm performance, several experiments were conducted and the obtained results were compared to those of two greedy-based algorithms. The results confirmed the efficiency of the proposed algorithm in terms of solving the problem. Show more

Keywords: Visual sensor networks, balanced coverage, k-coverage, learning automata

DOI: 10.3233/JIFS-191170

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2817-2829, 2020

Authors: He, Peng | Wang, Xue-Ping

Article Type: Research Article

Abstract: Let D be a finite distributive lattice with n join-irreducible elements. It is well-known that D can be represented as the congruence lattice of a rectangular lattice L which is a special planer semimodular lattice. In this paper, we shall give a better upper bound for the size of L by a function of n , improving a 2009 result of G. Grätzer and E. Knapp.

Keywords: Distributive lattice, Congruence lattice, Rectangular lattice AMS classification: 06C10; 06B10, 06C10, 06B10

DOI: 10.3233/JIFS-191220

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 2831-2843, 2020