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

Authors: Zhang, Shibo | Yu, Yuanlan | Zhang, Boyuan | Sha, Yun

Article Type: Research Article

Abstract: With the rapid growth of online reviews, the rapid and effective access to summary information is a hot topic of research. In this paper, an abstract sentence extraction model based on hierarchical attention network is proposed. The model has an encoder-decoder structure, which introduces a two-layer attention mechanism. The sentence encoder uses attention mechanism to obtain the vectorized representation of the sentence by inputting the aspect words. The review document encoder uses the attention mechanism to realize the context association of the sentences before and after. When decoding, a sentence output component composed of the GRU network makes the choice …whether the sentence should be selected as the candidate sentence. Greedy algorithm is used to eliminate the redundantly result, and then obtains the final summary based on the sentence sorting method. The experiment results show that the proposed model is better than the benchmark model. Show more

Keywords: Document summarization, attention network, review analysis

DOI: 10.3233/JIFS-179863

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Du, Wen Sheng

Article Type: Research Article

Abstract: The Choquet integral is proven quite reasonable as an integral form with respect to monotone measures, where the credibility measure is a specific case with self-duality. The main objective of this paper is to propose the Choquet integral of measurable functions on the credibility space, which bridges the gap between the Choquet integral and credibility theory. First, the Choquet integrals for nonnegative functions with respect to the credibility measure are introduced, and their properties are investigated such as the monotonicity and translatability. Then, the symmetric Choquet integrals and translatable Choquet integrals of any measurable functions are developed through the use …of the Choquet integrals of nonnegative functions. Finally, Choquet integrals on finite sets based on the credibility measure are presented to simplify the calculation procedures. Show more

Keywords: Choquet integral, credibility measure, symmetric choquet integral, translatable choquet integral

DOI: 10.3233/JIFS-190765

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Ye, Zheng | Shen, Qi Tai Song

Article Type: Research Article

Abstract: The entrepreneurship of intelligent manufacturing enterprises in manufacturing clusters have significant influences on China’s economic growth in the process of industry 4.0. This paper reveals the entrepreneurship of intelligent manufacturing enterprises by the analysis of network theory. By the questionnaire of 470 effective sample enterprises in the 6 manufacturing industrial clusters selected, Structural Equation Modeling and the AMOS software are used to verify the theoretical hypotheses. The findings are as follows: first, entrepreneurial competence has a positive effect on corporate entrepreneurship; second, network relation, betweenness centrality and network scale have positive effect on entrepreneurial competence; third, network relationship strength and …network density have different effects on entrepreneurial competence. Based on the results of empirical analysis, this paper puts forward some policy suggestions to promote enterprise entrepreneurship in industrial clusters. Show more

Keywords: Network characteristics, corporate entrepreneurship, entrepreneurial competence, SMEs, structural equation modeling

DOI: 10.3233/JIFS-179850

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Cao, Hui

Article Type: Research Article

Abstract: The selection of big data attributes plays a positive role in the development of the network. At present, the attribute selection for big data is completed by detecting the attribute of data, which can not guarantee the accuracy of the selection. In this paper, a big data attribute selection method based on support vector machine (SVM) is proposed for distributed network fault diagnosis database. The method is used to mine big data in the distributed network fault diagnosis database, and calculate its attribute weights according to which complete attribute classification, so as to complete the selection if big data attributes. …Experiments show that the proposed method improves the efficiency of big data attribute selection, and has certain practical value. Show more

Keywords: Distributed network, fault diagnosis database, big data attribute selection, support vector machine, fault diagnosis database

DOI: 10.3233/JIFS-179859

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Liu, Meng Ke | Xin, Xiao Long

Article Type: Research Article

Abstract: In this paper, we study the generating formula of filters in pseudo equality algebras, also we introduce prelinear pseudo equality algebras and divisible pseudo equality algebras, and then we investigate some characterizations of them. We focus on algebraic structures of the set F  (X ) of all filters in pseudo equality algebras and obtain that F  (X ) can form a Heyting algebra. Moreover, we give the notions of some types of filters ((positive) implicative filters, fantastic filters) in pseudo equality algebras and investigate their properties. Finally, we discuss the relations among these filters.

Keywords: Pseudo equality algebra, prelinear pseudo equality algebra, divisible pseudo equality algebra, (positive) implicative filter, fantastic filter, strong normal filter

DOI: 10.3233/JIFS-191512

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Patil, Varsha H. | Bhavsar, Swati A. | Patil, Aboli H.

Article Type: Research Article

Abstract: Digital Bibliography and Library Project dataset is a collection of bibliographic records of computer science publications of various authors and co-authors. It contains approximately 1.5 million bibliographic records. An algorithm for an author’s information retrieval is developed to retrieve details of specific author publications and correlation among authors. Further performance of an author is measured with parameters like consistency, contribution factor, stability, cooperativeness, and solidity. The work presented is tested on the DBLP dataset. Experimental results clearly support the claim that it works efficiently for retrieving specific author-publication records and its analysis with respect to suggested parameters.

Keywords: Author, consistency, contribution factor, cooperativeness, DBLP, graph, publication stability, solidity

DOI: 10.3233/JIFS-191289

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Zhang, Hui | Ke, Chenghu | Zhi, Na | Cheng, Yuan

Article Type: Research Article

Abstract: Recent studies show that power electronic system performance can be improved by combining with communication technologies, however, time-delay impact that is introduced by network could cause performance degradation. As for networked control inverters, such delay results in an increase in the THD of the output. To solve the time-delay impact, in this paper, we propose a wireless network control inverter architecture. It transmits the information of AC microgrid by Zigbee and a compound control method (internal model control and quasi-PR control) of networked control inverter is proposed. The architecture enables remote control of the inverter and wireless parallel connection, the …method can either reduce the THD increase and the circumfluence of wireless parallel inverters. The proposed method is concretely applied in networked control system of quasi-PR controlled AC microgrid in grid mode. The simulation and experimental results are presented to prove the proposed control on several operating condition, which provide a competive performance. Show more

Keywords: Network-based control, transmission delay, compound control method, AC microgrid

DOI: 10.3233/JIFS-179857

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2020

Authors: Wang, Jingbo

Article Type: Research Article

Abstract: Aiming at the problems of large error and poor robustness of traditional image classification methods, a three-dimensional martial arts image classification algorithm based on symmetry theory is proposed. According to the preprocessed 3D martial arts image, the classification algorithm based on symmetric neural network is used to realize the classification of 3D martial arts image. The experimental results show that the minimum error rate of this algorithm is 6.1%, which is far lower than the traditional algorithm, it is shows that the improved algorithm has higher definition, better robustness, and the test results of different topological nodes on the test …solution show that the average error rate of the algorithm is lower. Compared with the same type of algorithm, the application value of the proposed algorithm is significant. Show more

Keywords: Denoising, sharpening, SDBN network, mean filtering, gray uniformity

DOI: 10.3233/JIFS-179861

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Yan, Yan | Jin, Zhang | Qiuyu, Tang

Article Type: Research Article

Abstract: This paper studies the flight path optimization problem of air cargo companies in aviation line alliance. There are two limitations in this paper. One is to limit of the number and location of airbases and capacity in the air network. The other is to limit of flight time and airspace capacity of full cargo aircraft in actual operation. Considering the influence of alliance on operation, the selection probability of air alliance is introduced. It is assuming that all cargo aircraft is one type, the unit transportation cost of every aviation line is the same as each other, the queuing problem …of aircraft landing is not considered, and the network transportation demand of itself must be completed by an airline. It proposes a directed aircraft fleet routing problem optimization model (SMDDDAAAFRPTW) with multi-airbase stochastic and time constraints to minimize total operating cost and flight distance. Using the multi-objective optimization algorithm NSGA-II by most scholars, and improving the initial solution generation step, introducing Genetic engineering into cross-mutation to solve the optimal number and location of air bases and fleet routing of multiple aircraft. Comparing with the weighted method and ant colony algorithm, it shows that the improved NSGA-II algorithm is effective and has better computational efficiency. The results show that the more segments are selected for outsourcing, the lowest cost of network and the lowest carbon emission. This kind of decision-making behavior is only suitable for the initial operation phase of the enterprise. Show more

Keywords: Aircraft fleet route optimization, multi-airbases stochastic, time and capacity constraints, improved NSGA-II algorithm

DOI: 10.3233/JIFS-192041

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-20, 2020

Authors: Ameen, Mustafa | Tolba, A. S. | AlRahmawy, Mohammed | AbouEleneen, Amal

Article Type: Research Article

Abstract: Automated visual inspection is becoming an important field of computer vision in many industries. The real-time inspection of flat surface products is a task full of challenges in industrial aspects that requires fast and accurate algorithms for detection and localisation of defects. Structural, statistical and filter-based approaches, such as Gabor Filter Banks, Log-Gabor filter and Wavelets, have high computational complexity. This paper introduces a fast and accurate model for inspection and localization of industrial flat surface products: Neighborhood Preserving Perceptual Fidelity Aware Mean Squared Error (NP-PAMSE). The Extreme Learning Machine (ELM) is used for classification. ELM is found to …be the perfect classifier for detecting defects. The proposed model resulted in defect detection accuracy of 99.86%, with 98.16% sensitivity, and 99.90% specificity. These results show that the proposed model outperforms many existing defect detection approaches. The discriminant power displays the efficiency of ELM in differentiation between normal and abnormal surfaces. Show more

Keywords: Automated visual inspection (AVI), perceptual fidelity aware mean squared error (PAMSE), extreme learning machine (ELM)

DOI: 10.3233/JIFS-192071

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2020