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

Authors: Khan, Asghar | Farooq, Muhammad | Khan, Hidayat Ullah

Article Type: Research Article

Abstract: The main goal of this paper is to study ordered semihypergroups in the framework of uni-soft left (right) hyperideals. The notions of uni-soft semihypergroups, uni-soft left (right) hyperideals are introduced, and the related properties are investigated. The concept of exclusive set is provided and the characterizations of ordered semihypergroups in terms of uni-soft left (right) hyperideals are studied. The notions of uni-soft product is considered and their properties related to uni-soft left (right) hyperideals are studied. Using the notions of uni-soft left (right) hyperideals, the main theorems for a regular and intra-regular ordered semihypergroups are investigated. The concepts of a …concave soft set and critical soft point in ordered semihypergroups are provided and the basic properties of these notions are given. Show more

Keywords: Uni-soft left (right) hyperideal, uni-soft semihypergroups, uni-soft product, concave soft set, critical soft point, regular and intra-regular ordered semihypergroup

DOI: 10.3233/JIFS-161821

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4557-4571, 2018

Authors: Afrakhte, Hossein | Rouhani, Seyed Hossein

Article Type: Research Article

Abstract: Due to increasing the demand of electrical energy and non-economic development of the centralized power plant, the electrical industry has been tended toward using the decentralized power plant and distributed generation sources (DGS). In this paper, a three-area re-structured power system with the participation of DGS, hydro power plant, thermal power plant, wind turbine with doubly fed induction generator (DFIG) and photovoltaic system have been studied. The DGS due to the low capacity production and lack of cost effectiveness will not be participating in the electricity marketing. Injection the energy to power system by the DGS and how to participate …these resources in the automatic generation control (AGC) is controlled by a separate controller (not main controller). This controller is designed based on the optimal fuzzy logic controller (OFLC). Load of this system has been considered as a random variable that continuously and randomly has the fluctuation number of 0.3 around nominal amount. Fluctuations occurred because of considering the load as a random variable and participation of the wind-powered turbine with DFIG, photovoltaic system and DGS as a source of generation in power system. Since the wind turbine and photovoltaic system don’t produce power in the whole day, in this study capacitive energy storage (CES) units will be used parallel with this renewable energy source. To improve the response of power system, PID and OFLC will be utilized. Controller parameters can be optimized with three intelligent algorithms such as Imperialist Competitive Algorithm (ICA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) Algorithm and finally the results will be compared with each other. Show more

Keywords: DGS, random variable load, wind turbine with DFIG, photovoltaic system, restructured power systems, OFLC, intelligent algorithms

DOI: 10.3233/JIFS-16564

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4573-4587, 2018

Authors: Jamali, Maedeh | Rafiei, Shima | Soroushmehr, S.M. Reza | Karimi, Nader | Shirani, Shahram | Najarian, Kayvan | Samavi, Shadrokh

Article Type: Research Article

Abstract: Development of digital content has increased the necessity of copyright protection using watermarking. Imperceptibility and robustness are two important features of watermarking algorithms. The goal of watermarking methods is to satisfy the tradeoff between these two contradicting characteristics. Recently, watermarking methods in transform domains have displayed favorable results. In this paper, we present an adaptive blind watermarking method, which has high imperceptibility in areas that are important to the human visual system. We propose a fuzzy system to control the embedding strength factor adaptively. Image saliency, intensity, and edge-concentration are shown to be important to a human observer and are …hence used as fuzzy attributes. Embedding is performed in the discrete cosine transform of the wavelet domain to achieve high imperceptibility and acceptable robustness. Experimental results show the superiority of the proposed algorithm over comparable methods. Show more

Keywords: Blind watermarking, fuzzy system, saliency, discrete wavelet transform, adaptive strength factor

DOI: 10.3233/JIFS-171805

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4589-4608, 2018

Authors: Li, Hao | Zhang, Yunsheng | Leng, Kaijun | Wang, Xinyan

Article Type: Research Article

Abstract: This paper presents a Feedback Visual Background extractor (FViBe) method for salient foreground detection in urban traffic scenes to efficiently resolve deficiencies that the background subtraction model is easily contaminated by temporarily stopped or slow motions objects. The background template is constructed based on the history of recently observed pixel samples and each pixel is assigned counters to describe the corresponding traffic state and stability. The threshold for salient foreground decision is set adaptively according to stability of scenes, and model update depends on the feedback current traffic state and the stability. The overall results obtained with the real-world urban …traffic videos are presented to demonstrate that the FViBe achieves better performance of both visual comparison and quantitative evaluation than other state-of-the-art methods, particularly in the slow motions or temporarily stopped objects traffic scenario. Moreover, the experimental results show that the FViBe is suitable for real-time implementation in salient foreground detection of the urban traffic scenario. Show more

Keywords: Salient foreground detection, background subtraction, feedback visual background extractor, urban traffic scene

DOI: 10.3233/JIFS-171962

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4609-4620, 2018

Authors: Yang, Libin | Zheng, Yu | Cai, Xiaoyan | Pan, Shirui | Dai, Tao

Article Type: Research Article

Abstract: With the rapid proliferation of information technology, researchers find it more and more difficult to rapidly find appropriate reference papers for an authoring paper. Citation recommendation aims to overcome this problem by providing a list of reference papers given a query document. There exist various aspects in bibliographic literature acting as paper’s scholarly roles, such as paper’s content, paper’s author, citation behavior, paper’s topic. We argue that combining different kinds of paper’s scholarly roles can enhance citation recommendation performance. Based on it, we propose a network correlation based query-oriented citation recommendation approach. We first construct a semantic network and a …citation network, these two networks consist of the same vertices but different edge connection. Then we build correlations of these two networks and select the top features to calculate the semantic similarities of the query paper and scientific papers. Finally, we choose the top ranked scientific papers as the recommended citation list. When evaluating on the AAN dataset, the experimental results demonstrate the efficacy of the proposed approach. Show more

Keywords: Citation recommendation, network correlation, feature selection

DOI: 10.3233/JIFS-172039

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4621-4628, 2018

Authors: Ortatepe, Zafer | Karaarslan, Ahmet

Article Type: Research Article

Abstract: In this study, the performance analysis of Fuzzy Self Tuning (FST) control method for Bridgeless Power Factor Correction (PFC) converter is proposed. The Bridgeless PFC converter based on FST method operates AC line rectification to result in DC output voltage without full-bridge rectifier. The proposed method generates the duty cycles to provide higher Unity Power Factor (UPF) and lower Total Harmonic Distortion (THD) of input current, even if AC line voltage consists of harmonics. Although Ziegler-Nichols method is very important to tune the coefficients of PI control method, it cannot guarantee to be always effective. For this reason, this study …investigates the design of FST control method that tunes the coefficients of Kp , and Ki gains that are used into inner and outer control loops. These parameters are self-tuned to make them more general, to achieve minimum steady-state error, and to improve the dynamic behavior such as overshoot. Performance of proposed system was implemented for 1 kW Bridgeless PFC converter board with a TMS320F2812 DSP. The simulation and experimental results are compatible with the limits for harmonic current emissions, IEC 61000-3-2 and show that the proposed method is better than traditional ones. Show more

Keywords: AC-DC power conversion, bridgeless PFC converter, fuzzy self-tuning control, power factor correction

DOI: 10.3233/JIFS-172134

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4629-4642, 2018

Authors: Abd El-latif, A.A. | Khalaf, Mohammed M.

Article Type: Research Article

Abstract: In this paper, (2, M )-double fuzzifying topology as a generalized (2, M )-fuzzifying topology introduced by Höhle [7 ] is introduced. The relations between (2, M )-double fuzzy topology and (2, M )-double fuzzifying topology are studied. Also, we provided the definition of (2, M )-double fuzzifying preproximity structure. Not only that we studied the properties of these new notions, but we have also generated (2, M )-double fuzzifying topology from (2, M )-double fuzzifying preproximity. Finally, we introduced (2, M )-double fuzzifying preproximially continuous mapping which it used in more properties.

Keywords: (2, M)-double fuzzifying topology, (2, M)-double fuzzifying preproximity, double fuzzifying preproximally continuous mapping

DOI: 10.3233/JIFS-17691

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4643-4655, 2018

Authors: Faizi, Shahzad | Rashid, Tabasam | Zafar, Sohail

Article Type: Research Article

Abstract: This paper develops an hesitant 2-tuple linguistic preference relation (H2TLPR) in which the pairwise comparisons are represented by hesitant 2-tuple linguistic sets (H2TLSs) and then, uses the additive consistency concept for linguistic fuzzy preference relations to give an additive consistency definition for H2TLPRs. Two iterative optimization methods, namely, feedback optimization method (FOM) and automatic optimization method (AOM) are proposed to obtain a solution with a desired consistency index of H2TLPR. In the FOM, the decision makers (DMs) are suggested to give their new preference values in a specific range. If the DMs/experts are unwilling to offer their updated preferences, the …AOM is proposed to carry out the consistency improvement process. A score H2TLPR is proposed, and then introduced hesitant 2-tuple linguistic weighted averaging (H2TLWA) operator for the aggregation of H2TLPRs. Furthermore, the quantifier-guided dominance degrees are used to obtain hesitant 2-tuple linguistic ordered weighted averaging (H2TLOWA) operator weights. Finally, a case study is carried out, showing the potentials of the methodology by using the H2TLPRs and the optimization methods, and evaluating the selection of a best investment company that’s interested in the construction of one of the main infrastructure project of China Pakistan Economic Corridor (CPEC). Show more

Keywords: Hesitant 2-tuple linguistic set, Score function, Additive consistency, Iterative optimization methods, Group decision making.

DOI: 10.3233/JIFS-172152

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4657-4672, 2018

Authors: Zhong, Yu | Shi, Fu-Gui

Article Type: Research Article

Abstract: In this paper, a new definition of M -fuzzifying derived operators on matroids is introduced and their characterizations are given. What’s more, it is shown that there is a one-to-one correspondence between M -fuzzifying matroids and M -fuzzifying derived operators, and there is also a one-to-one correspondence between M -fuzzifying closure operators and M -fuzzifying derived operators. Besides, we can obtain an M -fuzzifying closure operator induced by an M -fuzzifying matroid directly.

Keywords: M-fuzzifying matroid,, M-fuzzifying derived operator,, M-fuzzifying closure operator,, One-to-one correspondence

DOI: 10.3233/JIFS-17789

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4673-4683, 2018

Authors: Lin, Yang | Liang, Wei | Zhang, Laibin | Yu, Xuchao | Qiu, Jingwei

Article Type: Research Article

Abstract: As the dynamic kernel of natural gas pipeline infrastructure, centrifugal compressor unit and its status of health hold a crucial impact on the regular operation of the pipeline system. In order to keep track of the state of the centrifugal compressor unit, monitoring parameters are taken as the indexes for state evaluation. However, with the increasing complexity of monitoring systems, how to select appropriate parameters among numerous monitoring parameters and to establish a rational index system becomes an urgent problem in the process of state evaluation. In traditional, the indexes are selected with expert experience, ignoring the correlation between the …monitoring parameters, which results in information redundancy in state evaluation. Besides, the monitoring parameters of auxiliary systems are usually not taken into consideration. For improving the performance of the index system, namely to reduce the information redundancy and to broaden the coverage, a time lag based correlation analysis model (TLCAM) is proposed in this paper for index selection. In the TLCAM, Erdem correlation coefficient (ECC), which takes the lag difference into account, is used to depict the coupling correlation between the monitoring parameters. Meanwhile, a neighborhood extreme value method (NEVM) is proposed to calculate the ECC. Hereafter, the monitoring parameters are classified through incorporating the advantage of information entropy into the density-peak based clustering (CDP). Consequently, an index system with less redundancy and wider coverage is established for the state evaluation of centrifugal compressor unit. At the end, correlation analysis and sensitivity analysis are performed on the two index systems respectively obtained from expert knowledge and TLCAM to compare their performance. The result shows that the index system established by using TLCAM is more sensitive to some early faults and contains less information redundancy. Moreover, it covers more critical components of the whole unit. Show more

Keywords: Centrifugal compressor unit, state evaluation, index selection, correlation analysis, neighborhood extreme value method (NEVM), density-peak based clustering (CDP)

DOI: 10.3233/JIFS-18113

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 4, pp. 4685-4699, 2018