Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Sun, Feng | Qu, Xiao-bing | Zhu, Ling

Article Type: Research Article

Abstract: Uni-nullnorms generalize both uninorms and nullnorms. In this paper, we investigate the migrativity property for uni-nullnorms. We characterize uni-nullnorms that are α -migrative over a fixed uni-nullnorm, where the 2-neutral elements of uni-nullnorms can be the same or different. Specifically, the (α , V 1 )-migrativity of V when e  = e 1 , a  = a 1 , or e  ≠ e 1 , a  = a 1 or e  = e 1 , a  ≠ a 1 are characterized, where V and V 1 are uni-nullnorms with 2-neutral elements {e , …1}  a and {e 1 , 1}  a 1 , respectively. Show more

Keywords: Uninorms, nullnorms, 2-uninorms, uni-nullnorms, migrativity

DOI: 10.3233/JIFS-190377

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Han, Yefan | Qu, Shaojian | Wu, Zhong | Huang, Ripeng

Article Type: Research Article

Abstract: In the process of group decision making, perturbation of input data always reduces the quality of the optimal solution or even makes it unfeasible. Hence, the value of the optimal solution is often limited. In this paper, a robust optimization method is proposed to overcome the inherent uncertainty of input data in group decision making (such as experts’ unit adjustment cost). Firstly, the minimum cost consensus model based on norm definition is established. Then, four different forms of uncertainty sets are proposed, and the corresponding robust models of four minimum consensus cost models are established. Finally, in order to evaluate …the robustness of the solutions obtained by the robust consensus model, the results with different parameters are compared. The robust consensus model is also compared with the minimum cost consensus model. A numerical example proves that the result of the minimum cost consensus model is too optimistic, and the robust consensus model is more robust. Show more

Keywords: Group decision making, consensus, uncertain set, robust optimization, marketing plan

DOI: 10.3233/JIFS-190863

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Chen, Yubing | Wen, Meilin | Wang, Fei

Article Type: Research Article

Abstract: Data envelopment analysis (DEA) has become an accepted tool for assessing efficiency in a wide range of cases since it was first proposed in 1978. However, traditional DEA models need accurate inputs and outputs, which can’t be obtained or measured in many practical cases. This paper will apply DEA into uncertain environment, and propose a new DEA model with uncertain inputs and outputs based on uncertain theory. Furthermore, the uncertainty theory is utilized to convert the new uncertain DEA model into an equivalent deterministic model for simplification. Finally, this new uncertain DEA model is applied to the evaluation of scientific …research personnel to illustrate the effectiveness. Show more

Keywords: Data envelopment analysis, uncertainty theory, uncertain variable, uncertainty distribution, efficiency

DOI: 10.3233/JIFS-190784

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Wang, Dan | Zhao, Hongwei | Li, Qingliang

Article Type: Research Article

Abstract: This paper designs a brand-new image retrieval method of mammary cancer based on convolution neural network. This method simulates VLAD layer in CNN network structure, designs a trainable universal VLAD layer-NET VLAD layer, reduces dimensions and optimizes VLAD descriptors, applies structure from motion algorithm to automatically label samples, and obtains the minimum loss function value by a new training program of weakly supervised ranking loss. Experiments show that this method has improved retrieval performance compared with similar retrieval methods and non-network structure retrieval methods.

Keywords: Convolutional neural network, VLAD, loss function, medical image retrieval

DOI: 10.3233/JIFS-179386

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Deng, Xilong | Song, Dan | Wei, Li

Article Type: Research Article

Abstract: Befriending with net friends in real life is an important choice for people who live in a fast-paced lifestyle, but results are unsatisfactory and even cause a lot of malignant events. Therefore, this paper simulates the whole process of Internet friend-making through the construction of game model and field experiment, with the aim of showing the behavior logic of people with limited rational when they try to befriend with net friends in real life. This paper aims to give more behavior guidance to related participants. Results from this research show that in the process of making friends on the Internet, …the basis for people befriending with net friends in real life is that they assume that their conditions are equal. But in off-line activities, they cannot improve their effectiveness, which then terminates their communication. Therefore, this paper suggests that Internet social users should distinguish Internet friend-making from traditional friend-making, and do not have too many unrealistic expectations of Internet friend-making. Show more

Keywords: Internet friend-making, actualization, game model, experimental study

DOI: 10.3233/JIFS-179381

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Ma, Xiaohui

Article Type: Research Article

Abstract:  Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals (images, videos, news, etc.), into the Web search results. Major search engines perform what is known as Aggregated Search. Aggregated search is relatively new and its advantages need to be evaluated. With the increasing size of the data set on the network, different results retrieved from different dimensions are sometimes entirely different for a given search problem. In this paper, a new aggregated search algorithm was proposed. Firstly, the retrieval data in the vertical domain was textualized, and Doc2Vec makes the vector representation of …the data. Then the results are aggregated and output by dimension reduction and density clustering. The experimental results show that the model achieves good accuracy in 20 given queries and significantly improves the aggregated search results. Discussion about the results also allowed us to identify some useful thoughts concerning the evaluation of AS approaches. Show more

Keywords: Aggregated search, dimension reduction, density clustering, information extraction

DOI: 10.3233/JIFS-179380

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Zhao, Dingxuan | Xu, Chunbo | Ni, Tao | Zhang, Hongyan | Qiao, Ruibo

Article Type: Research Article

Abstract: Marine hydraulic manipulator is limited by its size, weight and environment, so traditional hydraulic manipulator cannot be used for marine equipment. In this paper, large displacement pump is replaced by small displacement pump, accumulator is used as absorption pulsation replace by power source, and servo valve is replaced by solenoid valve. In order to improve the dynamic response and control accuracy of the marine hydraulic manipulator. Firstly, the bond graphs model of hydraulic manipulator supplied by oil are established and analyzed. Secondly, the dynamic response characteristics of solenoid valve under different supply voltage are analyzed. Thirdly, the piecewise P optimization …of dynamic response and the fuzzy PI optimization of position control of hydraulic manipulator are carried out. Through piecewise P and fuzzy PI algorithms, not only the dynamic response of the marine manipulator is improved, but also the control accuracy of the marine manipulator is improved. Compared with the traditional hydraulic manipulator, the marine hydraulic manipulator installed volume reduced by 49%, the opening time of solenoid valve is increased by 36%, the response speed is increased by 73%, and the control accuracy is improved by 35%. Show more

Keywords: Piecewise P and fuzzy PI algorithms, accumulator, control accuracy, dynamic response, power bond graph, marine hydraulic manipulator, small pump

DOI: 10.3233/JIFS-179382

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: XinSheng, Zhang | Teng, Gao

Article Type: Research Article

Abstract: Aspect level sentiment classification task require topical polarity classification for different description aspect. There is a polysemy in the same vocabulary, and the emotional polarity is different for different objects. Word embedding can capture semantic information but cannot adapt to the polysemy. Attention mechanism has achieved good performance in the above tasks; however, it is only able to get the degree of association between words and lack able to get details description. In this paper, the ELMOs model is used to adjust the polysemy of the word. The Transformer model is used to extract the features with the highest degree …of relevance to the target object for emotional polarity classification. Our work contribution is to overcome the polysemy interference, and use the attention mechanism to model the network relationship between words, so that the model can extract important classification features according to different target words. Experiments on laptop and restaurant datasets demonstrate that our approach achieves a new state-of-the-art performance on a few benchmarks. Show more

Keywords: Text sentiment classification, fine-grained sentiment analysis, attention mechanism

DOI: 10.3233/JIFS-179383

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Long, Yingwen | Zhu, Yanxiang

Article Type: Research Article

Abstract: The difference of feeder impedance and the nonlinear load may deteriorate reactive power sharing and worsen the power quality, which may cause the breakdown of power supply in islanded microgrids. An enhanced discrete consensus algorithm considering information transmission delay is put forward in order to optimize the convergence dynamic. The proposed algorithm defines the independent iteration number of times variable for every agent, which can be transferred to its adjacent agents together with the communication data to control the times of the iteration calculation. The optimized control strategy is adopted for three-phase distributed generators to balance the reactive power sharing. …Eventually, the simulation results show that the reactive power will be evenly shared among distributed generators in proportion to their rated capacity and the proposed algorithm achieves good dynamic performance during the transition. Show more

Keywords: Reactive power sharing, distributed generator, discrete consensus algorithm, time-delay

DOI: 10.3233/JIFS-179379

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2019

Authors: Zang, Jingfeng | Ren, Guibin | An, Yanlin | Piao, Yan

Article Type: Research Article

Abstract: Bad weather has a negative effect on the perceptual quality and degrades the performance of computer vision system. Therefore, a rain removal method based on dual-tree complex wavelet fusion is proposed. The algorithm can be further used for video surveillance system and intelligent transportation and other fields. The method analyzes from the perspective of frequency domain, using the dual-tree complex wavelet decomposition: decomposing images into low frequency sub-images and high frequency sub-images, then developing the different fusion rules. For the low frequency sub-images, fusion rules using the principal component analysis. For the high frequency sub-images, fusion rules using the local …energy matching. In this paper, an image edge enhancement algorithm based on fast guided filter is proposed, a SIFT feature matching method based on maximum likelihood estimation sampling and consistent(MLESAC) algorithm is proposed. Experiments results show that the proposed algorithm can improve the definition of images and restore the details of the target blocked by raindrops. Show more

Keywords: Raindrops removal, dual-tree complex wavelet fusion, PCA, local energy

DOI: 10.3233/JIFS-179385

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019