Journal of Intelligent & Fuzzy Systems - Volume 35, issue 1

Authors: Wang, Zhanzhong | Yang, Lina | Zhao, Liying | Cao, Ningbo | Lu, Yue

Article Type: Research Article

Abstract: This paper develops a dual-objective vendor-managed inventory model with a single supplier and multiple retailers in a supply chain in which the retailer’s demand is assumed as a fuzzy random variable and the supplier incurs a constant deterioration rate. The model is optimized to simultaneously minimize the total cost and maximize the service level under capital budget and storage constraints, in which ordering cost, holding cost, deterioration cost and transportation cost are considered in the total cost of the vendor. To solve the proposed model in an imprecise environment, the expected value and pessimistic value are used to change the …fuzzy random model into a determined model. Three fuzzy random simulations are presented to obtain the optimal replenishment quantities of the expectation model and the pessimistic model. A numerical study with a single vendor and three retailers in the supply chain is provided to demonstrate the efficiency of the models and algorithms, which gives the optimal results for the expectation model and pessimistic model. Furthermore, recommendations for the replenishment policy for different types of decision makers in the pessimistic model are provided based on the analysis of inventory costs with different parameter values. Show more

Keywords: Vendor-managed inventory, supply chain, fuzzy random demand, expected value, pessimistic value

DOI: 10.3233/JIFS-169581

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 211-222, 2018

Authors: Lu, Peng | Li, Wenhui | Huang, Dongmei

Article Type: Research Article

Abstract: This paper combines the rough set with graph theory to deal with the problems of power transformer fault diagnosis, by the graph of decision table for fault diagnosis and its partitioned adjacency matrix. In the process, the new three-ratio decision table of fault diagnosis based on graph theory and rough set is got without conflict and missing, to derive the new fault diagnosis rules. These new rules got by the partitioned core attribute of this graph can expand the fault diagnosis range of guideline IEC-60599, and improve the defect problem of three-radio fault diagnosis method. The results of experiment based …on the 62 fault samples of power transformers prove the effectiveness of the new method. Show more

Keywords: Power transformer fault diagnosis, rough set, the graph of decision table, partitioned core attribute

DOI: 10.3233/JIFS-169582

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 223-230, 2018

Authors: Hsu, Ming-Fu | Yeh, Ching-Chiang | Lin, Sin-Jin

Article Type: Research Article

Abstract: This study proposes a novel dynamic hybrid model for corporate operating performance forecasting that has been widely acknowledged to be the key trigger of financial troubles. Different from previous studies on performance measurement that merely focus on quantitative ratios, we take balanced scorecards (BSC) that contains quantitative and qualitative metrics into consideration and further incorporated it with dynamic Malmquist data envelopment analysis (Malmquist DEA) to handle multiple-inputs and multiple-outputs ratios as well as capture the time-varying information. News media information that can give more relevant and immediate messages beyond what the financial ratios offer is also taken into consideration, because …the news media can give better compulsory information than financial ratios. How to handle a large amount of news media data and extract the implicit knowledge from seemingly noisy data (i.e., news media data) are complicated tasks. To handle this challenge, this study constructs business relation corpus and then utilizes text mining (TM) and social network analysis (SNA). TM helps construct the corporate influential network, and SNA is used to decide the corporate competitive priority. The aggregated information is used to construct the forecasting model. The model, tested by real cases, is a promising alternative for corporateoperating performance forecasting. Show more

Keywords: Social network analysis, artificial intelligence, decision making, forecasting, hybrid model

DOI: 10.3233/JIFS-169583

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 231-241, 2018

Authors: Xiuguo, Wu

Article Type: Research Article

Abstract: Replication technology is one of the most effective measure to improve the cloud data availability and reduce the response time, by put multiple copies on different data centers in the cloud. However, traditional replica placement strategies mainly focused on the performance improvement, such as transfer time reduction, load balancing and so on, with little attention to their safety storage, which inevitably result in new security risks towards replicas’ correct access. Aimed to develop an intelligent solution to enhance the cloud storage system performance, we apply fuzzy comprehensive evaluation to candidate data centers, evaluating its security risk level as replica placements, …therefore improve the quality of cloud storage system. First, a novel five-dimensional security model for replica placement is proposed. Then, a security-aware replica placement evaluation algorithm is designed and implemented based on fuzzy set and entropy weight theory to establish a fusion of multiple factors of assessment model. Through comparing the experiment results with the outcome of the different strategies, we can see that data replica availability probability of the proposed strategy is up to 85% and less wait latency can be achieved, indicating the better effectiveness and practicality. Show more

Keywords: Cloud storage, replicas placements, security, fuzzy, Qos

DOI: 10.3233/JIFS-169584

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 243-255, 2018

Authors: Guan, Hongjun | Dai, Zongli | Guan, Shuang | Zhao, Aiwu

Article Type: Research Article

Abstract: We propose a heuristic learning method forecasting future performance of stock market indices based on high-order fuzzy-trend jump rules generated from historical training data. Firstly, the training time series (TSs) are fuzzified by equal intervals referencing to the whole mean differences of historical training data. Then, it generates the groups of nth-order fuzzy logical relationships (FLRs). With the knowledge of the generated relationship groups, it summarizes the probability of the jumps of the nth-order “down”, “equal” and “up” trend rules, respectively. Finally, it performs the forecasting based on the nth-order FLRs and the probabilities of their corresponding jump rules. To …evaluate the outcome of the presented model with the performances of the others, we use the presented model to predict the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) dataset. The outcomes show that the presented model outperforms the other models using single factor and point-wise one-step ahead forecasts. Moreover, it is easily to realize by software computing without artificial participation and can be extended to deal with multiple years of dataset. We use this model to predict Shanghai Stock Exchange Composite Index (SHSECI) as well to analyze its effectiveness and universality. Show more

Keywords: Fuzzy time series, fuzzy forecasting, fuzzy logical relationship, probabilities of jumps, fuzzy-trend logical relationship groups

DOI: 10.3233/JIFS-169585

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 257-267, 2018

Authors: Yang, Lu | Cai, Bowen | Zhang, Ronghui | Li, Kening | Wang, Rongben

Article Type: Research Article

Abstract: Suspension design is one of the important parts in the research field on lunar rover mobile system. To conduct detailed dynamic analysis on the new type of suspension, this paper presents a new type of six link double ring lunar rover suspension model based on ADAMS virtual simulation software. And, this paper designs the lunar rover path tracking neural network controller. Simulation and test results show that the new lunar rover suspension has strong ground adaptability, obstacle surmounting capability and anti-overturning ability compared to classic suspension, and the neural network controller based on the new suspension has good tracking ability. …The research results provide a reference for autonomous navigation control on lunar rover. Show more

Keywords: Lunar rover, suspension design, ADAMS, vehicle dynamics simulation, neural network

DOI: 10.3233/JIFS-169586

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 269-281, 2018

Authors: Song, Chuang | Lei, Junwei | Wu, Huali

Article Type: Research Article

Abstract: Considering the fast time varying characteristic of pitch channel model of hypersonic model with coupling of engine, a kind of hybrid attack angle tracking controller is designed based on variable structure and Taylor type FLNN neural network method. And the adoption of variable structure control method make the system response very fast and robust. The Taylor type FLNN neural network is constructed with the format of fitting function which is used to describe the force and moment caused by attack angle, so it can compensate the interruption caused by the uncertainty and unconsidered factors effectively. At last, detailed numerical simulation …is done to testify the rightness of the proposed hybrid method. Show more

Keywords: Variable structure control, hypersonic aircraft, neural network, adaptive, stability

DOI: 10.3233/JIFS-169587

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 283-291, 2018

Authors: Simón, Jonathan Rojas | Ledeneva, Yulia | García-Hernández, René Arnulfo

Article Type: Research Article

Abstract: In the last 16 years with the existence of Document Understanding Conference (DUC), several methods have been developed in Automatic Extractive Text Summarization (AETS) that have allowed the continuous improvement of this task. However, no significant analysis has been performed to determine the significance of the AETS methods. In this paper, we present a new method based on a Genetic Algorithm to determine the best sentence combination of DUC01 and DUC02 datasets to rank the newest methods of AETS. Using three heuristics presented in the state-of-the-art, we rank the most recent AETS methods, obtaining upper bounds and recovering lower bounds …of the state-of-the-art. Show more

Keywords: Significance, Topline, text summarization, genetic algorithm, upper bounds

DOI: 10.3233/JIFS-169588

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 293-304, 2018

Authors: Tripathy, Ramamani | Mishra, Debahuti | Konkimalla, V. Badireenath | Nayak, Rudra Kalyan

Article Type: Research Article

Abstract: In modern biology, GPCRs occupy a solitary crossroad and it signifies as important families of membrane receptors. In human body, all intracellular communications and cell signaling can take place with the knowledge of GPCR protein. Cholesterol is a vital sterol that is requisite for cell development and differentiation in mammalian cells. Modulating the function of several membrane proteins membrane cholesterol plays a significant role. Among these proteins, a particular cholesterol binding motif is reported to which the membrane cholesterol binds and modulates their movement. This consensus motif is either seen as CRAC and CARC, which correspond to any amino acid …between one and five residues. Therefore, the recent work is focused on human GPCR transporters to identify the allocation of this motif in all seven helices of GPCR family and provide a harmony signature motif for an individual helix. A computational approach based on Spectral Clustering using Fuzzy c-Means has been experimented to obtain heterogeneous type of sequence for cholesterol from GPCR super family. From the obtained result, it is seen that excluding olfactory family in our dataset we found perfect matching of cholesterol motif with Transmembrane helices of GPCR family which can be further extended to other membrane proteins. Show more

Keywords: GPCR, spectral clustering, FCM, transmembrane helix (TM), CARC, CRAC

DOI: 10.3233/JIFS-169589

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 305-314, 2018

Authors: Hu, Haiyan | Yang, Jiandong | Tian, Chunlin

Article Type: Research Article

Abstract: The optimization of deburring process with fluid-impact to automobile main cylinder cross hole is studied in this paper to achieve higher processing quality and processing efficiency, so as to enable a system to automatically adapt to the change of processing state and not affect the processing quality due to the change of processing status. The improved fuzzy RBF expert system is used to optimize the processing parameters intelligently. Training and reasoning are done with fuzzy RBF neural network and double object optimization is done with particle swarm optimization based on flow dispersion and processing efficiency. A method of orthogonal combination …is proposed in the number of hidden bodes in inference layer of fuzzy RBF neural network and their combination modes. Compared with the method of forming hidden nodes by combining the whole fuzzy layer, this method greatly reduces the amount of calculation and has obvious effect in solving complex problems. Experiment has been done on different processing programs, which shows that the processing quality has been greatly improved with the optimized process, the processing quality is obviously higher than that in the national standard, and the process level has been further improved. Show more

Keywords: Automobile brake master cylinder, fluid-impact, deburring, fuzzy RBF neural network, double object optimization

DOI: 10.3233/JIFS-169590

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 1, pp. 315-323, 2018