Journal of Intelligent & Fuzzy Systems - Volume 31, issue 4

Authors: Zhang, Shengtai | Han, Fang

Article Type: Research Article

Abstract: Identifying emerging technological topics is of great interest to decision makers, but identifying such technologies usually has two problems. First, an overwhelming amount of information is given to researchers on many subjects. Second, the effect of the topics is usually ignored. This paper describes a new overlap method for locating emerging topics in a specific technology domain. Two models of technological patents, namely, those based on the direct citation and genetic approaches, were combined to identify new and persistent clusters. The method was then applied to the technological domain of solar photovoltaic. Fifteen emerging topics were identified for the period …1980–2010, and these topics were evaluated by the history of innovation and development of solar cells. These topics were characterized in various ways to understand the motive forces behind their emergence. Results indicated that the methodology could be a useful tool for identifying emerging technological topics. Show more

Keywords: Technological domain, patent, emerging topics, direct citation model, genetic model

DOI: 10.3233/JIFS-169054

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2147-2157, 2016

Authors: Shao, Wanqing | Du, Yunchao | Lu, Sumei

Article Type: Research Article

Abstract: Performance evaluation of port supply chain involves various factors. These factors are characterized by fuzziness and incompatibility. It is a complicated multi-layered fuzzy evaluation issue. Based on the theoretical framework of balanced score card (BSC), this paper established a performance evaluation index system for port supply chain involving finance, customers, internal operation, learning and development. An evaluation model was constructed using fuzzy-matter-element analysis to comprehensively evaluate port supply chain performance. Results showed that the proposed evaluation method considered the fuzziness of designed indexes and combined with matter-element characteristics. The method was simple, effective and feasible.

Keywords: Fuzzy-matter-element, performance evaluation, port supply chain

DOI: 10.3233/JIFS-169055

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2159-2165, 2016

Authors: Jin, Jian | Feng, Huihui | Gu, Liubao

Article Type: Research Article

Abstract: This study proposed an intelligent exam management system based on the Browser/Server (B/S) structure for Hebei University. The system was integrated with three levels: user interface, business logical, and data access. These levels manage the test arrangements and performance of students through intelligent data processing. Three function modules based on C#, ADO.NET, and ASP.NET technology and business demand were developed; the modules were user management, examination arrangement management, and performance management. Moreover, 10 sub-function modules, including the exam arrangement module and the score registration module, were realized. The practical operation results show that the established intelligent exam management system can …efficiently achieve education informatization and plays a significant role in educational administration and management system. Consequently, the efficiency of examination work and the safety of the exam management system can be enhanced. Show more

Keywords: Intelligent exam management system, Browser/Server structure, ASP.NET technology

DOI: 10.3233/JIFS-169056

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2167-2175, 2016

Authors: Huiyun, Wu | Yuping, Wang

Article Type: Research Article

Abstract: With the development of the internet and the arrival of large volumes of data, the analysis of transactional data is becoming important in the field of data mining. Clustering algorithms for transactional trade datasets are becoming a hot topic. Among them, clustering with slope algorithm (CLOPE) is widely used as a result of its superior performance, lower memory use, and better quality than other clustering algorithms. However, the quality of the CLOPE algorithm is related to the sequence in which the data is input; different result will be clustered by different input sequences of the same dataset. This can even …result in poor clustering. In order to solve the problem, this paper analyzes the CLOPE algorithm deeply and proves that records with more items ahead will improve the quality of the result greatly in theory. A procedure to preprocess the dataset according to item similarity is proposed. The experiment results show that the algorithm has obviously better quality result when the proposed method is used, and it is 10% faster than the traditional procedure. This algorithm is a valid algorithm that produces high quality results for transaction data sets. Show more

Keywords: Clustering with slope, data mining, data preprocessing, cluster algorithm, item similarity

DOI: 10.3233/JIFS-169057

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2177-2185, 2016

Authors: Wang, Jianxiang | Sun, Lang | Zhao, Huishuo | Wang, Yuding

Article Type: Research Article

Abstract: The autoregressive integrated moving average (ARIMA)–backpropagation (BP) integrated intelligent algorithm for consumer price index (CPI) forecasting was designed based on the ARIMA intelligent forecasting method and the BP intelligent neural network algorithm. The irregular variations in CPI time series data were divided into linear and nonlinear variations. The linear variation was fitted by the ARIMA intelligent forecasting method, and the nonlinear variation was fitted by the BP intelligent neural network. The sum of the fitted linear and nonlinear variations was the CPI forecasted by the ARIMA-BP integrated intelligent algorithm. Results demonstrated that the ARIMA-BP integrated intelligent algorithm could achieve high-precision …fitting of the historical CPI data of China. The proposed algorithm showed a forecast error that was smaller than that of the single ARIMA model. Owing to the complexity of the CPI and the combined influence of various factors, achieving accurate CPI forecast is difficult. Such a new integrated intelligent algorithm provides a referent scientific method to forecast the CPI of China in the future. The results can provide government departments reference information of timely price control. Show more

Keywords: ARIMA model, BP neural network, ARIMA-BP integrated intelligent algorithm, intelligent forecast, CPI

DOI: 10.3233/JIFS-169058

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2187-2193, 2016

Authors: Fan, Junjie | Zhou, Lingyun | Cao, Yushu | Gu, Zhonghua

Article Type: Research Article

Abstract: The construction of a regional logistics industrial ecosystem elicits increasing attention because of the growing awareness of environment protection, and its health evaluation by considering environmental impacts is one of the kernel problems that must be addressed to promote the development of regional logistics. In this study, a comprehensive methodology based on fuzzy mathematics and matter-element analysis theory was presented to accurately evaluate the health status of the regional logistics industrial ecosystem in China. First, the forming mechanism and influencing factors of regional logistics industrial ecosystem were analyzed. Second, a fuzzy matter-element model was constructed to evaluate the regional logistics …industrial ecosystem, and the weights of characteristic values of evaluation indexes for fuzzy matter-element were obtained using entropy decision method. Finally, this proposed method was applied to evaluate the logistics industrial ecosystem health of eight provinces in China. In this case, these evaluation indexes include energy consumption, logistics cost, and CO2 emissions. The results show that this method is feasible and effective, and demonstrate the promising application of the proposed model in evaluating the health status of a regional logistics industrial ecosystem and in supplying reliable data for the environmental protection of regional logistics activities. Show more

Keywords: Logistics industrial ecosystem, ecological health evaluation, entropy weight, matter–element analysis method

DOI: 10.3233/JIFS-169059

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2195-2202, 2016

Authors: Chuantao, Wang | Xiaofei, Cai | Baowen, Li

Article Type: Research Article

Abstract: Business Intelligence System (BIS) has become an important tool for enterprises to make decision timely and effectively. However there are many differences in the quality and performance of the BIS on the market, it is necessary for enterprise managers to evaluate the BIS before buying, so that they could choose the right BIS. This study provided a fuzzy comprehensive evaluation method based on multi-attribute group decision making for selecting BIS. Eight evaluation criteria about BIS were firstly determined through literature review with three judgment methods being presented to score these criteria. Then the ordered pairwise comparison method was used to …determine the weight of criteria, and the entropy measure method of interval-valued intuitionistic fuzzy sets was applied to determine the weights of experts. A fuzzy comprehensive evaluation algorithm based on multi-attribute group decision making was proposed, which we used to select suitable supplier of BIS. Finally an illustrative supplier selection problem was described to demonstrate the practicality and effectiveness of the proposed method. Show more

Keywords: Business intelligence system, interval-valued intuitionistic fuzzy sets, multi-attribute group decision making

DOI: 10.3233/JIFS-169060

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2203-2212, 2016

Authors: Guan, Shuqi | Yun, Jun | Zhang, Qinkang | Aurora, Anna

Article Type: Research Article

Abstract: Intelligent transport systems (ITS) have powerful technologies that work together to improve transportation performance. The use of ITS provide effective solutions for intelligent decision making in traffic engineering, reducing traffic congestion, and increasing traffic safety. This study explains the working mechanisms of how ITS improve the operating efficiency of urban traffic and describes the development of a scientific evaluation model that can calculate the net contribution from, and assess the operational performance of, ITS and, in addition, remove interference from other factors. From correlation analysis and Granger causality tests, four key indicators are presented. In addition, a combination of difference-in-differences …and matching methods solves the problem of sample-selection deviation and endogenousness perfectly, and are useful in calculating the net contribution of ITS. According to the results, the contribution rate of ITS to the urban traffic operating efficiency in Guangzhou, China has been 6.32%. This value quantitatively demonstrates that ITS have a positive effect on urban traffic operating efficiency, and proves the effectiveness of ITS contributions to intelligent decision-making in traffic engineering. Show more

Keywords: Intelligent transportation system, intelligent decision, difference-in-differences, matching, contribution rate

DOI: 10.3233/JIFS-169061

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2213-2220, 2016

Authors: Wang, Pinyue | Shen, Jiang | Zhang, Bin

Article Type: Research Article

Abstract: In the past decade, the public–private partnership (PPP) has been more widely used in worldwide infrastructure construction. Traditional PPP project evaluation methodologies have been incapable of effectively solving the two-sided matching problem between government and enterprises. In this study, we first constructed a bilateral matching satisfaction index system for the PPP project at both the government and enterprise levels, and established the matching satisfaction judgment matrices of the two sides via intuitionistic fuzzy numbers. Considering the influence of multiple attribute decision-making relevance on the attributes of decision, we used the Choquet integral to match the satisfaction evaluation vectors of the …two sides, and then obtained the final matching results by constructing a multi-objective decision model. Finally, a case study was implemented to illustrate the practicality and maneuverability of this method. The research results show that the intuitionistic fuzzy Choquet integral data fusion method, which uses a two-sided matching decision-making method for PPP projects, can effectively solve the problem of correlation among attributes in the decision-making process. Consequently, this method can provide a more scientific evaluation of the bilateral matching decision problem between the government and enterprises in PPP projects. Show more

Keywords: Public–private partnership, two-sided matching decision-making, intuitionistic fuzzy sets, Choquet integral

DOI: 10.3233/JIFS-169062

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2221-2230, 2016

Authors: Chen, Xun | Xu, Li-sheng | Xu, Meng

Article Type: Research Article

Abstract: To solve the issues during grouting, such as low accuracy in grouting pressure detection, lack of stability, and tedious manual control work for pressure, a new adaptive control system for grouting pressure stability was designed based on single-chip technology, sensor technology, and automatic control technology for online detection and stability control of grouting parameters. The grouting simulating test bed was designed based on the actual grouting pipeline system in the project. The experiment tests were conducted by adjusting the following parameters: flow characteristics of the grouting pump, instantaneous flow pulsation variation law, and P-Q (pressure–quantity of flow) performance. Subsequently, the …damping characteristics of valve under different pressures and pipeline hydraulic power balance control equations were proposed. Based on the experimental tests, whereby the opening of perturbation valve V01 was regulated and changed to create pressure fluctuations, changes at different pressure values are obtained. On the basis of fuzzy control algorithm tuning the parameters K p , K i , and K d of Proportion, Integration, Differentiation (PID), the PID controller that varied the regulating signal and maintained a given pressure in grouting system was afforded. Finally, the reliability of the adaptive control system for grouting pressure stability was demonstrated by the application in rock mass curtain grouting project. The accuracy of automatic pressure control was maintained within 5% of the set value, and the control response time was 2 s to 3 s, thereby showing the high accuracy, fast response, and good stability of the designed system. Show more

Keywords: Grouting pressure, stability, adaptive control, fuzzy algorithm

DOI: 10.3233/JIFS-169063

Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2231-2239, 2016