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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Cao, Wei Hang | Jiang, Jian
Article Type: Research Article
Abstract: In this paper, considering the heterogeneity of travelers’ decision-making behavior caused by travel environment factors, thus affecting the choice of travel path, the theories and methods of travel path choice based on improved cumulative prospect theory (ICPT) in complex environment were proposed. On the basis of cumulative prospect theory (CPT), the value function was improved, and the parameter value range was enlarged. The nonlinear curve of value function and weight function of cumulative prospect theory was fitted through thousands of data tests and experiments. Then according to the decision preference, the decision makers were divided into different categories and the …reference point value relationship of heterogeneous decision makers was found. In this paper, fuzzy travel time reference point and periodic dynamic risk degree reference point were set up, and a dynamic path selection model based on heterogeneous double reference point was established to improve the cumulative prospect value. Taking the highway network in Sichuan-Tibet region for example, the optimal path selection scheme of heterogeneous travel groups under the complex environmental factors such as debris flow and landslide in each time stage was studied, and the influence of preference parameter of travel time and risk degree on path choice was analyzed, and then the parameter sensitivity in the cumulative prospect theory (ICPT) was analyzed. The research results verified the rationality of the improved theory and method proposed in this study, which not only provide a new way of thinking for the study of travel path choice in complex environment but also provide theoretical guidance value for supporting regional traffic planning and construction in complex environment. Show more
Keywords: Path choice, complex environment, improved cumulative prospect theory, heterogeneous preference points, Sichuan-Tibet region
DOI: 10.3233/JIFS-220597
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8109-8126, 2022
Authors: Surya, R. | Mullai, M.
Article Type: Research Article
Abstract: Inventory managers are expected to handle a large number of items in their inventory while adhering to budgetary and space limits, as well as the number of items bought from vendors. Multi-item inventory models with one or more resource constraints, such as budget, space, or number of orders. This paper talks about an EOQ model in neutrosophic multi-item inventory control models with constraints. The ordering costs, the holding costs, demands, storage area, investment amount, and the maximum average number of units are considered as triangular neutrosophic numbers, as opposed to crisp values, to make the inventory model more realistic. This …idea is used to decide the neutrosophic optimal order quantities with the assistance of the Lagrange multiplier. Eventually, the proposed method is delineated with a numerical instance and the results are analysed briefly. Show more
Keywords: Inventory, space constraint, investment constraint, neutrosophic sets, triangular neutrosophic numbers
DOI: 10.3233/JIFS-221143
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8127-8136, 2022
Authors: Ni, Chenmin | Fam, Pei Shan | Marsani, Muhammad Fadhil
Article Type: Research Article
Abstract: GPS monitoring systems and the development of driverless vehicles are almost inseparable from camera images. The images taken by traffic cameras often contain certain sky areas and noise, the traditional dark channel prior (DCP) algorithm easily produces color distortion and halo effect, when processing the hazy traffic images with sky and high brightness areas. An optimized Retinex model and dark channel prior algorithm (ORDCP) is proposed in this paper. Firstly by adjusting the calculation method of dark channel image, the proportion of dark channel is improved; Then, the transmittance image is corrected and smoothed by guided filtering and mean filtering. …Finally, the Retinex model is fused to save the details.ORDCP corrects the inaccurate calculation of scene transmittance value in DCP algorithm,and modifies some dehazing problems, such as the loss of details, halo effect, contrast and color distortion,etc. Using information entropy (IE) as the objective evaluation index, combined with the subjective evaluation, it is concluded that the algorithm proposed in this paper can effectively retain the detailed information of the image, and eliminate the halo effect. Meanwhile, it meets the visual characteristics of human eyes better, and has some practicality and applicability in traffic control and intelligent detection. Show more
Keywords: Haze removal, traffic image, Retinex model, dark channel prior
DOI: 10.3233/JIFS-221240
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8137-8149, 2022
Authors: Jiang, Jian
Article Type: Research Article
Abstract: This research proposes a Pythagorean fuzzy multi-attribute decision-making evaluation method based on the improved cumulative prospect theory. The method ranks the decision-making results by calculating the comprehensive cumulative prospect value. Firstly, the research improves the cumulative prospect theory based on the utility curve, and describes the psychological and behavioral characteristics of various decision-making groups with different risk preferences. Then, a distance measure method based on the geometric center of the Pythagorean fuzzy right triangle is designed. The main core of the distance measure method is that it converts the Pythagorean fuzzy number into a Pythagorean fuzzy right triangle. In terms …of attribute weighting, this research proposes a subjective and objective weighting method based on the combination of value function and deviation method of improved cumulative prospect theory. Finally, the Pythagorean fuzzy multi-attribute decision-making method based on the improved cumulative prospect theory is realized through the selection of reference object, the calculation of value function value, weight function value and cumulative prospect value. The results analysis and the comparison with other methods verify the effectiveness and advancement of the proposed decision-making method, especially that the proposed method has good applicability for the decision-making cases where the attribute value is Pythagorean fuzzy number, the attribute weight is unknown, and the psychological behavior of decision makers cannot be reflected. Show more
Keywords: Ecological sustainable development, location selection of emergency rescue center, improved cumulative prospect theory, Pythagorean fuzzy number, subjective and objective weighting method, Sichuan-Tibet Railway
DOI: 10.3233/JIFS-221301
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8151-8175, 2022
Authors: Xu, Xinrui | Deng, Dexue
Article Type: Research Article
Abstract: The selection of suppliers is an important part of the construction of engineering projects in supply chain management. If the partners in the supply chain are reliable enough, they can promote the continuous progress of the supply and demand sides in the cooperation, thereby achieving a win-win situation, which is conducive to the realization of a virtuous cycle process. Material suppliers provide the required products and raw materials for the production and construction of enterprises. They are an important source of construction projects and occupy a very important position in the development of enterprises. The supply of high-quality products can …lay a good foundation for the subsequent production and construction of the project, thereby promoting the smooth completion of the entire project. Therefore, rational evaluation and selection of suppliers has very important practical significance. The selection and application of building material suppliers is a classic multiple attribute decision making (MADM). In this paper, we introduced some calculating laws on intuitionistic fuzzy sets (IFSs), Hamacher sum and Hamacher product and further propose the induced intuitionistic fuzzy Hamacher power ordered weighted geometric (I-IFHPOWG) operator. Meanwhile, we also study some ideal properties of built operator. Then, we apply the I-IFHPOWG operator to deal with the multiple attribute decision making (MADM) problems under IFSs. Finally, an example for physical health literacy evaluation of College students is used to test this new approach. Show more
Keywords: Multiple attribute decision making (MADM), intuitionistic fuzzy sets (IFSs), I-OWG operator, I-IFHPOWG operator, building material suppliers
DOI: 10.3233/JIFS-221869
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8177-8186, 2022
Authors: Shi, Haosu | Han, Lina | Fang, Linbo | Dong, Huan
Article Type: Research Article
Abstract: An improved algorithm of image defogging was proposed based on dark channel prior in order to solve the low efficiency and color distortion in the bright area using original algorithm. If the image contains large areas of bright areas such as sky, white clouds or partial white objects and water surface, we can know that the dark channel prior theory does not apply to these areas. Firstly, it is necessary to clear the bright area of the image. According to principle that he adjacent pixel attributes have similarity, the image transmittance of the local region also has similarity, Block function …is Consruted. Applied the dark channel prior, judging whether each block includes a bright area by the absolute value of difference of atmospheric intensity and dark channel, the dark and bright areas of the image are obtained. So the estimation value of the adaptive space transmittance are also obtained. Secondly, the transmittance of bright region is small and it causes deviation, so the enhancement formula is used to modify it dynamically. In order to preserve the edge details after image restoration, for bright areas, using texture function to optimize transmittance independently, for others, using gradient and texture function together. Finally, it restored the fog-free image applying the atmospheric scattering model. The experimental results showed that the restored image had obvious details and rich color and fast processing speed through the proposed algorithm. The algorithm can also be applied to outdoor visual systems, such as video surveillance, intelligent traffic and so on. Show more
Keywords: Dark channel prior (DCP), image defogging, gradient information, texture information, transmittance, atmospheric scattering model
DOI: 10.3233/JIFS-221521
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8187-8193, 2022
Authors: Zhang, Lei | Bai, Wei | Guo, Shize | Xu, Youwei | Jiang, Kaolin | Pan, Yu | Zheng, Qibin | Chen, Jun | Pan, Zhisong
Article Type: Research Article
Abstract: Because multiple domain cyberspace joint attacks are becoming more widespread, establishing a multiple domain cyberspace defensive paradigm is becoming more vital. However, although some physical domain and social domain information is incorporated in present approaches, total modeling of cyberspace is absent, therefore thorough modeling of cyberspace is becoming increasingly necessary. This paper proposed a knowledge graph based multiple domain cyberspace modeling approach. A knowledge graph of multiple domain cyberspace is produced by extracting multiple domain entity information and entity relations such as physical domain, social domain, network domain, and information domain, so that semantic information of multiple domain cyberspace may …be described consistently. At the same time, this paper proposed a user’s permissions reasoning method based on multiple domain cyberspace knowledge graph to address the user’s permissions reasoning that relies on artificial reasoning principles. Through the model learning knowledge graph triples characteristics and rules, and implementing automatic reasoning of user’s permissions, this proposed method can abandon the artificial model of writing reasoning rules, allowing the machine to learn the reasoning rules using machine learning and other methods. Experimental results showed that the proposed method can learn relevant reasoning rules and accomplish automated reasoning of user’s permissions, and that the method’s accuracy and recall rates are higher than those of path ranking and translating embeddings. Show more
Keywords: Multi-domain cyberspace, knowledge graph, unified semantic description, user’s permissions reasoning, intelligent
DOI: 10.3233/JIFS-211696
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8195-8206, 2022
Authors: Rikhtechi, Leila | Rafeh, Vahid | Rezakhani, Afshin
Article Type: Research Article
Abstract: One of the most significant issues in information security today is monitoring users’ behavior while accessing software resources. This paper proposes a new access control model based principally on user behavior as a sequence of events regarding the processes within the software. The proposed model consists of three main components. The first component analyses system logs for events triggered by each user’s access to the system. The second component provides a policy engine to determine the risk of permitting the subsequent access requested by the user. According to the access history, the third component, which reflects the user’s behavior and …the existing policies, determines the level of risk of any subsequent access of the user and acts accordingly. To generate the policies in the detection engine, a behavior-based risk management cycle is presented by applying the Ordered Weighted Averaging method to determine and rank the behavior-based risks. For modeling the behaviors, the BIZAGI Studio tool is utilized, and also for investigating all possible conditions. Kaggle and two random datasets are used to evaluate the accuracy of the proposed method. The results show an increase in the accuracy of the proposed method compared to recent research. Applying the proposed method creates more precise access control and enhances information confidentiality. Show more
Keywords: Users’ behavior, access control, ordered weighted averaging, behavior-based risk management, software
DOI: 10.3233/JIFS-212377
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8207-8220, 2022
Authors: Anand, R.
Article Type: Research Article
Abstract: This paper is to improve the privacy and security in the distributed virtual environment using blockchain technology. One of the feature it provides is greater security in the decentralized virtual environment. A key aspect of this technology is used for various fields like healthcare, finance, business and cloud environment. Key issue of the virtual environment is to protect the data privacy and security which is difficult to handle. To overcome this issue, a new security model to protect the virtual environment is created and will focus on different types of attacks in blockchain technology.
Keywords: Blockchain security, virtualization, virtual security, privacy
DOI: 10.3233/JIFS-212619
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8221-8231, 2022
Authors: Erdebilli, Babek | Aslan Özşahin, Selcen Gülsüm
Article Type: Research Article
Abstract: Facility location models have been studied in the literature for decades as an outstanding branch of supply chain planning. Set-covering facility location models are among the most commonly used approaches to establishing and running a distribution network. However, real-life brings uncertain and imprecise parameters that need to be reflected in the model systematically and computably to achieve more efficient and precise solutions. That’s why fuzzy set covering models have been introduced in the literature from various perspectives. This work aimed to handle real-life uncertainties in an unbiased and autonomous way and provide more precise solutions to fuzzy set-covering facility location …models in real-life contexts. Therefore, we propose a novel approach, adopting the autonomous fuzzy methodology consisting of fuzzy trapezoidal set coverage to minimize the cost of establishing new facilities. This work’s main innovative achievements are that i) the set-covering facility location models were equipped with autonomous uncertainty management ability, ii) the trapezoidal fuzzy set coverage constituted a perfect fit for the management of uncertainties in a realistic way in the model, and iii) the relevant fuzzification was executed without any human/expert intervention/supervision. The well-known Turkish Network Data demonstrated the proposed model’s efficacy. Furthermore, the results show that the developed model contributed to the overall theoretical framework of fuzzy approach employment in optimization models and outperformed classical version in numerical experiments. Show more
Keywords: Autonomous fuzzy optimization, data-driven set covering, autonomous fuzzy set covering, trapezoidal fuzzy set covering, trapezoidal fuzzy coverage
DOI: 10.3233/JIFS-213220
Citation: Journal of Intelligent & Fuzzy Systems, vol. 43, no. 6, pp. 8233-8246, 2022
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