Journal of Intelligent & Fuzzy Systems - Volume 40, issue 4

Authors: Gu, Xungang | Li, Gang | Cao, Shengli | Zhang, Yumeng | Wang, Ran

Article Type: Research Article

Abstract: The reasonable cost budget of the e-government scheme can effectively promote the construction of the digital government. To analyze the cost impact components of the e-government system and find out the impact factor model works in China, this paper reviews relevant literature on software cost impact factors and proposes the impact factors model based on COCOMO II. Besides, combined with the actual construction of digital government and specific cases, this paper analyzes the mechanism of each impact factor in detail. The model can be used to guide the cost estimation of e-government software in China, especially with artificial intelligence estimation …method. An enhanced decision theory of theory based on fuzzy set has been adopted for analysis of cost factor on E-government software cost. Show more

Keywords: E-government, information system, software cost estimation, impact factors, fuzzy set

DOI: 10.3233/JIFS-189638

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8151-8161, 2021

Authors: Deng, Guangzhe | Fu, Yingkai

Article Type: Research Article

Abstract: As the stability of surrounding rock of coal roadway is affected by many factors, which makes the classification result hard to be consistent with the field practice. To solve the above problems, this paper proposes a method for the classification of stability of rock which is present in roadway of coal using the artificial intelligence algorithm. In this paper, the influencing factors of stability of rock which is present in roadway are analyzed, and seven influential factors are selected as classification indexes. To solve the problem of slow convergence speed and easy to fall into the local minimum of the …back propagation artificial neural network (BP-ANN), an improved BP-ANN algorithm based on additional momentum and Levenberg-Marquardt optimization is proposed based on the analysis of the existing improved methods, which improves the convergence speed and avoids the local minimum effectively. Based on the learning model available, classification system based on fuzzy rule have been implemented and yielded better behavior in the situation of uncertain data sets. Finally, the stability classification model of surrounding rocks of coal roadway using BP-ANN was established in MATLAB environment, and the model was applied to 13 data samples of coal roadway for testing, with the identification rate of 92.3%. The experimental results verify that the method proposed based on fuzzy rule classification system in this paper has a high accuracy of type identification and is applicable to the stability classification of surrounding rock in the coal roadway. Show more

Keywords: Coal roadway, surrounding rock, artificial intelligence, BP-ANN, fuzzy rule, classification system

DOI: 10.3233/JIFS-189639

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8163-8171, 2021

Authors: Wang, Xi | Chen, Qinyi | Wang, Jingyi

Article Type: Research Article

Abstract: The lightening system inside the residential or commercial building consumes the highest electrical power. For an energy efficient smart city development, some sustainable and low power consumption methods need to be explored. In this direction, we proposed solar energy based auto-intelligent LED light controlling system that uses wireless sensor network (WSN) with computation and control model for LED on/off and dimming of LED lights inside the building area. The WSN is employed with some sensor devices that sense and gather ambient context information which is transmitted to computation model. LEDs get power supply from photovoltaic solar panel systems that have …inbuilt battery banks. Fuzzy rough set is a simplification of a rough set, obtained from the normalization of fuzzy set in a approximation of crisp value. Fuzzy is utilized for analyzing the energy consumed in the system additionally. Performance evaluation of proposed Auto-intelligent LED system is carried out based on the comparative analysis of energy consumption of ac-grid system with solar energy based dc-grid system. Result analysis shows that proposed system saves 78% of energy consumption as compared to the traditional AC power grid system. The proposed DC power grid system presents 3% of voltage drop and maximum power loss of 1.25%. The statistics of battery charger and LED drives are also represented experimentally. Show more

Keywords: Energy efficient, wireless sensor networks, power consumption, artificial intelligence (AI), smart grid, fuzzy rough set

DOI: 10.3233/JIFS-189640

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8173-8183, 2021

Authors: Zhou, Zaohong | Zou, Yongwen

Article Type: Research Article

Abstract: Problems involving decision-making and management of engineering projects call for attention from different quarters and the issue of decision-making for projects under the state planning in particular should be the major concern of project management. This study takes a traditional village protection project —- the preservation of Zaoshi Village, Xingan County, Jiangxi Province, China—- as a case in point. Treating the decision-making process as a system, the study employs ISM model to examine the system-level relationship between engineering projects. Artificial Intelligence is utilized for analyzing the planning of project structure and Fuzzy TOPSIS model is useful in estimating the weights …of the scenario and find the ranking of structure finally. Then, using the analytical data thus derived, the research focuses on identifying the optimum option for decision-making. By this process, the study intends to gain and share some insight into the issue and establish precedents for similar engineering projects. Show more

Keywords: Planning engineering, Artificial Intelligence (AI), ISM, Grey situation decision-making, Fuzzy TOPSIS

DOI: 10.3233/JIFS-189641

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8185-8195, 2021

Authors: Yu, Guo | Li, Weijian | Zhou, Xiaobo

Article Type: Research Article

Abstract: The Belt and Road (abbreviated as B&R) creates opportunities for the economy and trade development and the improvement of national relations of the Belt and Road countries. Development of service trade plays an important role in the Belt and Road. Henan Province takes the opportunity of B&R to develop the international service industry and makes some achievements. In the new era of development, analyzing the trade competitiveness of international service in Henan Province under the background of the Belt and Road is of great significance to help Henan Province recognize its own strengths and weaknesses in service trade development and …make targeted improvements. Studies have shown that the share of international market, revealed, advantages of comparative competitiveness trade and service trade openness of service trade in Henan Province under the background of the Belt and Road are constantly improving, but the overall development level is still low and slow development occurs. We utilize the concept of fuzzy embedded along with Analytic Network Process (ANP) which makes it suitable for managing vagueness of the linguistics information of assessment system. Therefore, in order to further improve the international competitiveness of service trade in Henan Province, it is necessary to optimize the international market share, competitiveness, and degree of openness. Specifically, it is necessary to transform and upgrade the traditional service trade industry, continue to expand the breadth and depth of service trade openness, strengthen the talent team building to improve the quality of employees, and promote the brand construction of service industry to enhance the industry’s development potential. Show more

Keywords: The belt and road, henan province, service trade, international competitiveness, fuzzy, analytic network process (ANP)

DOI: 10.3233/JIFS-189642

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8197-8206, 2021

Authors: Jing, Wu | Jie, Tian

Article Type: Research Article

Abstract: China remains one among largest agricultural countries in the world and one of the fastest growing Internet countries in the world. The further thorough and penetration of the Internet into the rural hinterland indicates that the combination of the Internet and the rural areas already has the technical foundation. The transformation of rural economy with Internet as medium is the future direction of rural development. Starting from the current situation of rural Internet development, based on the annotation of “Internet plus”, this paper explores the theoretical and practical application of rural e-commerce development. We utilize Intuitionistic Fuzzy Sets operator for …modelling multiple attribute issues related to decision making to estimate influence of e-commerce in industries. This paper puts forward the measure method of industrial transformation and proves that “Internet plus” e-commerce has exerted a great influence on the commercial civilization, industrial structure and economic structure transformation of rural areas. The steady and lasting impact of this continuous release may become a new paradigm of technological economy. It is of great significance to the formation of the “four modernizing” linkage mechanism with information as media and the innovation of the conventional path of rural economic development and the rapid growth of rural economy. Show more

Keywords: Rural e-commerce, industrial structure, transformation, artificial intelligence (AI), “Internet plus”, fuzzy sets

DOI: 10.3233/JIFS-189643

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8207-8215, 2021

Authors: Wang, Xiaodong | Wang, Xiaoming | Wu, Junfeng | Zheng, Kai | Pang, Yanhong | Gang, Song

Article Type: Research Article

Abstract: For the weak part of the quality traceability ability of cigarette logistics and products, this paper proposes a quality traceability method which integrates PDCA quality cycle with information strategy. This method firstly establishes the quality cycle process of cigarette logistics through PDCA quality cycle process, and then constructs IS-PDCA process based on information strategy (IS) to analyze the quality traceability process of cigarette products. The key links are determined according to the traceability process of cigarette logistics, and the traceability resource scheduling function is determined through the product. Then, according to the determined scheduling function and RFID technology, the optimal …allocation strategy is constructed to complete the feature extraction and classification identification of cigarette quality labels. For assessing the quality of cigarette evaluation, classification based on fuzzy is proposed and artificial neural network are utilized for calculating the grade of cigarette. Finally, a process of cigarette quality traceability combining PDCA quality cycle and information strategy is formed, and the quality traceability results are constructed by means of QR code technology, so as to realize the process system of cigarette quality traceability and improve the quality control ability of cigarettes. The simulation results show that the cigarette quality traceability method constructed in this paper can obtain the cigarette quality control with good adaptive performance, and the control process shows a strong ability, which improves the feasibility and effectiveness of the cigarette quality traceability. Show more

Keywords: Information strategy, Artificial Intelligence (AI), PDCA quality cycle, cigarette logistics, quality traceability, fuzzy, artificial neural network

DOI: 10.3233/JIFS-189644

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8217-8226, 2021

Authors: Luo, Xiaolin

Article Type: Research Article

Abstract: Along with improvement of technology in network and continuous expansion of network economy and network applications, the Internet has gradually become an indispensable part of the modern society. However, an endless stream of hacker attacks and network virus events make network security issues stand out. Therefore, network security has become a hot spot in computer network research and development. This paper aims at establishing a real-time detection and dynamic defense security system and makes an in-depth study of intrusion detection technology and defense decision-making technology. The strategy involved in finding the intrusion behavior since the fuzzy base contains the better …group of rules. We have utilized an automated fuzzy rule generation strategy. An adaptive network intrusion detection and defense system model is established, and the architecture of the model is discussed in detail. The platform independence, good self-adaptability, expansibility, multi-level data analysis and dynamic defense decision-making are expounded. The experiment proves that the model proposed in this article has a good self-adaptability and open construction, and effectively combines the functions of intrusion detection and defense decision-making. Show more

Keywords: Artificial intelligence, adaptive network, defense system, fuzzy rule

DOI: 10.3233/JIFS-189645

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8227-8235, 2021

Authors: Jiang, Sai

Article Type: Research Article

Abstract: With the rapid development of artificial intelligence and big data technology, the traditional audit method has been constantly impacted by big data. In the era of big data, enterprises actively explore and build a financial sharing service model, and through this model, build audit methods based on big data. In this paper, based on the financial sharing service model, we elaborate the preprocessing process of big data collection, clarity and storage, and build the simulation process framework of big data audit under the service model. Evaluation model is developed based on fuzzy analytic hierarchy process (AHP) and methodology for order …estimation by similarity of solution. Finally, on the basis of the implementation process framework, the specific content of each link of big data audit is briefly given. Under the financial sharing service mode, it provides theoretical guidance and practical significance for the implementation of big data audit Show more

Keywords: Financial sharing services, artificial intelligence (AI), big data audit, data processing, process framework, fuzzy analytic hierarchy

DOI: 10.3233/JIFS-189646

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8237-8246, 2021

Authors: Tao, Zou | Si Jun, Bai | Xi Bai, Rong

Article Type: Research Article

Abstract: The rapid development of cloud computing, big data, AI, BI and other information technologies has accelerated the process of enterprise modernization and informatization. The combination of computer technology and management science promoted the formation of modern enterprise management technology. Especially in today’s era of big data, in the face of massive data, how to quickly and accurately find out the required information, analyze the memory relation of data, find out the inherent business law hidden under massive information, and provide an important reference for enterprises to make business decisions and seek for market opportunities. A methodology that exhibits fuzzy TOPSIS …model has been incorporated in this study. Fuzzy weights and fuzzy judgment about the management systems have employed to estimate the scores of evaluation. In order to solve this problem, this paper integrates independent ERP and BI, and studies and develops a marketing management system by using advanced technologies such as data warehouse, online analysis and data mining; The system extracts useful data from ERP data sources, and analyzes the internal rules and statistical results that can be used to guide the enterprise’s actions, so as to effectively improve the enterprise’s competitiveness. Show more

Keywords: ERP, artificial intelligence (AI), data mining, marketing management, computer technology, fuzzy TOPSIS, fuzzy weights, fuzzy judgment

DOI: 10.3233/JIFS-189647

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8247-8255, 2021