Journal of Intelligent & Fuzzy Systems - Volume 37, issue 1

Authors: Jingjing, Zhang | Jiaxin, Wang | Ta, Liu | Dongping, Han

Article Type: Research Article

Abstract: As the theme of sustainable development in the 21st century, environmental management creates value through the combination of ecological and economic elements and forms the enterprise Eco-efficiency. Enterprise Eco-efficiency can not only measure the performance of the company’s environmental management, but also guide the implementation of enterprise environmental management strategy and the realization of business objectives. There is a mutual causal relationship between environmental management and enterprise Eco-efficiency. Based on the analysis of the forming mechanism of enterprise Eco-efficiency within the environmental management system, it is found that whether the place influencing factors or vicissitude influencing factors, their impacts on …the enterprise Eco-efficiency measurement value may be uncertain and ambiguous. In this paper, the similarity model of intuitionistic fuzzy set is established to conduct the intuitionistic fuzzy identification of the enterprise Eco-efficiency influencing factors, and a large-scale oil refining and chemical company is used as an example for application testing to determine measurement effectiveness. Show more

Keywords: Enterprise Eco-efficiency, environmental management, place influencing factor, vicissitude influencing factor, intuitionistic fuzzy identification

DOI: 10.3233/JIFS-179076

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 185-192, 2019

Authors: Ouyang, Xiaoxun | Dai, Yuqin

Article Type: Research Article

Abstract:  Supply chain network equilibrium (SCNE) model can provide many important results for supply chain network. Such as the production of product, the trade volume between supply chain members, and product price, etc. In this paper, the authors analyze the supply chain equilibrium and transportation network efficiency based on MSA algorithms and multilayer decision model. The super network equilibrium problem was converted to transportation network equilibrium problem, and then was planned and resolved. An example was introduced in the paper, and the model was solved. The results showed that the expansion of congestion link capacity would improve the efficiency of supply …chain network. New link can cause a significant change in the distribution channel of supply chain network. Those all prove that model can be used to study the interact between related policy of road transport and benefit of supply chain network. At the same time, the model built in this paper can be applied when extended in some direction, which is the next step of research work. Show more

Keywords: MSA algorithm, multi-level decision-making, supply chain equilibrium, network efficiency

DOI: 10.3233/JIFS-179077

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 193-204, 2019

Authors: Mohanty, Sachi Nandan | Rejina Parvin, J. | Vinoth Kumar, K. | Ramya, K.C. | Sheeba Rani, S. | Lakshmanaprabu, S.K.

Article Type: Research Article

Abstract:  Personalized information recommendation in view of social labeling is a hot issue in the scholarly community and this web page data collected from the Internet of Things (IoT). To accomplish personalized web pages, the current investigation proposes a recommendation framework with two methodologies on user access behavior using Rough-Fuzzy Clustering (RFC) technique. In this paper, Fuzzy-based Web Page Recommendation (WPR) framework is provided with the user profile and ontology design. At first, the weblog documents were gathered from IoT to clean the data and undergo learning process. In the profile ontology module, the learner profile was spared as the ontology …with an obvious structure and data. For identification of the similar data, innovative similarity measure was considered and for effective WPR process, the generated rules in RFC were optimized with the help of Chicken Swarm Optimization (CSO) technique. Finally, these optimal rules-based output recommends e-commence shopping websites with better performances. A group of randomly-selected users was isolated and on the basis of the obtained data, their clustering was performed by cluster analysis. Based on the current proposed model, the results were analyzed with performance measures and a number of top recommended pages were provided to users compared to existing clustering tech-niques. Show more

Keywords: Recommendation, clustering, rough fuzzy, optimization, web page, products, ontology

DOI: 10.3233/JIFS-179078

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 205-216, 2019

Authors: Mahesh, R. | Meyyappan, T.

Article Type: Research Article

Abstract:  Nowadays people are sharing their information in digitally, and their information plays the significant role in public sectors and business world assist in understanding the social behavior, statistical analysis and drafting the business policies for future direction. At the same time, users’ personal information should be preserved from adversaries while data publishing. Privacy preservation is one of the main agenda of data publishing, K-anonymity and its families likel-diversity and t-closeness which are the most familiar models to preserve the sensitive information of individuals in data publishing. Besides, data reliability is also the main factor of reliable anonymized data. Various anonymization …techniques which are performed the data protection against attack models; however, the privacy models satisfy the privacy preservation effectively. The data utilization is also a vital account to achieve the purpose of data publishing. Moreover; Publisher focuses on the utilization of anonymized dataset that might be helpful to analyze the meaningful data. Otherwise, the potency of anonymization leads to diminishing the data utility of anonymized dataset and weakening the purpose of data publishing. In this proposed method aims to improve the utilization of anonymized data in data publishing with minimal information loss based on fuzzy alpha-cuts. Triangular membership function has applied over in the proposed method to generalize the quasi-identifiers by constructed alpha cut sets and taxonomy tree. The evaluation results are compared with an existing model concerning information loss and time execution time metrics. The performance of the proposed method is encouraging that based on the experimental results. Show more

Keywords: Fuzzy logic, fuzzy inference system, data privacy, fuzzy generalization, anonymity

DOI: 10.3233/JIFS-179079

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 217-225, 2019

Authors: Ahmad, Adnan | Whitworth, Brian | Zeshan, Furkh | Janczewski, Lech | Ali, Munwar | Chaudary, Muhammad Hasanain | Friedman, Robert

Article Type: Research Article

Abstract:  Privacy of data is a basic requirement for all types of applications but is especially relevant to online social networks. These systems allow users to share personal data with their friends and thus rightfully desire to have enriched social interactions. Current access control models fulfill basic requirements of individual users but struggle to meet needs of social interactions such as multiparty privacy, politeness and asymmetric, non-reciprocal and intransitive nature of relationships. A personalized access control model, based on the social relations model and the socio-technical design paradigm, is proposed in this paper to satisfy these requirements. The model is formulated …through extreme formal modeling and implemented through Facebook APIs. The model’s expressiveness is examined for overlapping policies of multiple users, its consistency is analyzed for conflicting and redundant policies and user acceptance testing is performed for validity. The results suggest that the proposed technique outperformed the existing one to secure data in multiparty interactions. Show more

Keywords: Access control model, multi-party privacy, online social networks, social relations model, socio-technical design

DOI: 10.3233/JIFS-179080

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 227-239, 2019

Authors: Zhao, Ling | Liu, Ying | Chen, Lijiao | Zhang, Junchi | Koomey, Jonathan G

Article Type: Research Article

Abstract:  In oral English, for the pronunciation of continuous reading and easy to confuse, the difficulty to understand the pronunciation and so on, this kind of spoken pronunciation has a direct influence on the accuracy of computer speech recognition technology. Therefore, based on the fuzzy measure and speech recognition technology, in this paper, the English oral evaluation algorithm is studied. Based on fuzzy measure, the fuzzy comprehensive evaluation algorithm is discussed. This paper focuses on how to solve the problem that the fuzzy measure cannot be fused, the optimization and updating scheme proposed from the algorithm flow and evaluation model, and …an effective oral reading evaluation model is established by effectively evaluating the different oral continuous state, giving the corresponding evaluation results. The simulation results show that the optimization of oral English evaluation algorithm can provide a scientific evaluation method and improvement strategy for oral teaching and improving oral learning ability. Show more

Keywords: Fuzzy measure, speech recognition, spoken english, evaluation algorithm

DOI: 10.3233/JIFS-179081

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 241-248, 2019

Authors: Xu, Zhou

Article Type: Research Article

Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTED”. A retraction notice is available at https://doi.org/10.3233/JIFS-219218 .

DOI: 10.3233/JIFS-179082

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 249-262, 2019

Authors: Xiuli, Song | Jing, Guo | Yue, Wu | Deguang, Yang | Junhe, Wang | Bo, Tao

Article Type: Research Article

Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTED”. A retraction notice is available at https://doi.org/10.3233/JIFS-219218 .

DOI: 10.3233/JIFS-179083

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 263-274, 2019

Authors: Xiaogangr, Tang | Sun’an, Wang | Mingxue, Liao | Litian, Liu | Shankar, K.

Article Type: Research Article

Abstract: Cognitive radio (CR) attempts to improve spectrum utility by exploiting whitespaces in the spectral and time domains. However, whitespaces in different time or spectral domains may provide different communication qualities. Distinguishing the best whitespaces among a large number of candidates is expensive in terms of energy and time and has yet to be fully studied in the literature. This paper presents a spectrum sensing framework based on channel usability patterns mined from actual experimental data to address this problem. In contrast to spectrum prediction techniques that simply regard a channel as idle or usable and that construct binary series over …time, we model channel quality considering not only SNR but also the duration for which communication can be achieved a continuous manner. With this method, both the spectrum utility and sensing accuracy are greatly improved while also significantly decreasing the time overheads. Show more

Keywords: Channel usability, pattern guided, spectrum prediction, sensing

DOI: 10.3233/JIFS-179084

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 275-282, 2019

Authors: Luo, T. | Metawa, Noura

Article Type: Research Article

Abstract:  Financial mathematics, an interdisciplinary subject between mathematics and finance, is the application of mathematics in the financial field, which carries mainly out the quantitative analysis and research of financial issues by mathematical theories and methods. The idea of financial mathematics is adopted to study investment. First of all, an investment risk prediction model is designed based on cluster analysis-hybrid genetic algorithm and integrated improved support vector machine, and AdaBoost-support vector machine and clustering-AdaBoost support vector machine, the model is fully analyzed and verified. Combining the ways of more than half random sampling, the imbalance state is adjusted and reduced. Then …the idea of integrated learning is used to cope further the data imbalance state and improve the classifier’s attention to a few classes. Finally, the algorithm is tested. The results show that this algorithm effectively reduces the cost of accidentalinjury. Show more

Keywords: stochastic interest rate, stochastic volatility, optimal investment, reinsurance

DOI: 10.3233/JIFS-179085

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 283-292, 2019