Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Azhar, Kamran | Zafar, Sohail | Kashif, Agha | Zahid, Zohaib

Article Type: Research Article

Abstract: Fault-tolerant resolving partition is natural extension of resolving partitions which have many applications in different areas of computer sciences for example sensor networking, intelligent systems, optimization and robot navigation. For a nontrivial connected graph G  (V  (G ) , E  (G )), the partition representation of vertex v with respect to an ordered partition Π  = {S i  : 1 ≤ i  ≤ k } of V  (G ) is the k -vector r ( v | Π ) = ( d ( v , S i ) ) i = 1 k , where, d  (v …, S i ) = min {d  (v , x ) |x  ∈ S i }, for i  ∈ {1, 2, …, k }. A partition Π is said to be fault-tolerant partition resolving set of G if r  (u |Π ) and r  (v |Π ) differ by at least two places for all u  ≠ v  ∈ V  (G ). A fault-tolerant partition resolving set of minimum cardinality is called the fault-tolerant partition basis of G and its cardinality the fault-tolerant partition dimension of G denoted by P ( G ) . In this article, we will compute fault-tolerant partition dimension of families of tadpole and necklace graphs. Show more

Keywords: Tadpole graph, necklace graph, partition dimension, fault-tolerant partition dimension

DOI: 10.3233/JIFS-201390

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2020

Authors: Shiri Daryani, Zahra | Tohidi, Ghasem | Daneshian, Behrouz | Razavyan, Shabnam | Lotfi, Farhad Hosseinzadeh

Article Type: Research Article

Abstract: Inputs and outputs of Decision Making Units (DMUs) are estimated by the Inverse Data Envelopment Analysis (InvDEA) models, while their relative efficiency scores remain unchanged. But, in some cases, cost/price information of the inputs and outputs are available. This paper employs the input and output cost/price information, including the generalized InvDEA concept in two-stage structures. To this end, it proposes a four-stage method to deal with the InvDEA concept, for estimating the inputs and outputs of the DMUs with a two-stage network structure method, while the allocative efficiency scores of all the units remain stable. Eventually, an empirical example is …rendered to illustrate the competence of the method which is presented. Show more

Keywords: Inverse DEA, network DEA, two-stage network, cost efficiency, input/output estimation

DOI: 10.3233/JIFS-200386

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Chen, Zhuo | Chen, Ruoxi | Chen, Songtao

Article Type: Research Article

Abstract: With the development of urbanization, the application of GIS technology is more and more extensive. This study mainly discusses the development of urban planning intelligent management information system based on GIS. To design and build a rule-detailed spatial data model, provide the physical model and the data model corresponding to the logical layer from top to bottom in all steps, based on the attribute information stored in the Geodatabase model. According to the parameters set, connect to the database through the Oracle Connection class. The defined query criteria are converted into SQL statements that are executed using the Oracle Command …class. Multi-source data integration middleware integrates various data formats with a GIS software format conversion tool or direct reading tool and then uses the geometric encoding semantics of data dictionary to represent the integrated data of system data model after merging. Property queries use the interactive search function for properties and spatial information to query the land use index for a particular area of the chart. If there is a scene roaming request from the input device, the 3D scene needs to be adjusted according to the input. Display the scene effects of a 3D virtual demonstration on a computer monitor. Start the GIS management operation function to deal with the case, and realize the user’s management of the urban planning system function with the concept of stratification. Fuzzy recognition mode is applied to identify the degree of the environmental impact of eco-city planning. The impact of urban planning on the environment is H ≈ 0.11 (0.1 <  H <  1), which meets the expected standard. The results show that the system demand evaluation designed in this study is good, and the overall operation of the system is relatively stable, which plays a promoting role in urban planning. Show more

Keywords: GIS technology, urban planning, intelligent management, system research

DOI: 10.3233/JIFS-189440

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Mahboob, Aamir | Rashid, Tabasam

Article Type: Research Article

Abstract:  In this paper, a multistage decision-making problem concerning uncertainty and ambiguity is discussed using Pythagorean fuzzy sets. Complement Pythagorean fuzzy membership grades and their properties are also considered. Using the definition of an alpha-level set, we introduce the multistage decision-making problems, where the possibility theory and satisfaction grades are declared with the help of Pythagorean membership grades. Pythagorean multistage decision-making is an uncertain theory, where decision-maker has only one opportunity to choose the scenario under the combination of Pythagorean possibility and satisfaction grades at each stage. According to the selection of criteria, a series of decision points are concluded. The …payoff collaborates with these decision points at each stage. The multistage decision-making using Pythagorean fuzzy sets is the scenario-based theory in place of other theories like lottery-based theory etc. The results have been calculated using multistage Pythagorean fuzzy sets in which the decision-maker has only one chance to select the optimal solution. The TOPSIS technique has been applied and the comparison between these two techniques is highlighted. Show more

Keywords: Pythagorean fuzzy sets, Dynamic Programming, Multistage decision making, TOPSIS

DOI: 10.3233/JIFS-201661

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2020

Authors: Xu, Xia

Article Type: Research Article

Abstract: The current network environment is dynamic, open and extensible. In order to better ensure the needs of users, higher requirements are placed on link resource allocation. Based on the research and analysis of the instant communication protocol, this paper studies an intelligent routing evolution algorithm and related fault recovery strategy for the instant communication network. Research on instant messaging intelligent algorithms for routing evolution is mainly based on routing algorithms and artificial intelligence intelligent algorithms. When a link failure occurs in the communication network, the routing algorithm performs route reconstruction and optimization on the entire instant communication network. Considering that …there may be evolutionary needs of large-scale routing networks in practical applications, this paper introduces artificial intelligence intelligent algorithms to optimize intelligent algorithms to improve efficiency. A cognitive routing protocol based on MIMO (Multiple Input Multiple Output) technology is proposed. By using MIMO technology, a lot of gain is brought to the communication link under multiple antennas. These gains correspond to different link types. The protocol realizes cognition through intelligent routing evolution algorithm and predicts the state of the network. Setting the routing life and hello period according to the perceived network status can optimize the performance of the network. Show more

Keywords: Instant messaging, network link optimization, intelligent routing evolution algorithm, CRMA routing protocol

DOI: 10.3233/JIFS-189450

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Ruan, Kun | Li, Yuan

Article Type: Research Article

Abstract: Using the theoretical knowledge of ergonomics, physiology, and psychology, carried out the humanized design of human body adaptive sports equipment; using the theoretical knowledge of modeling, color, material science and other related disciplines, proposed the human body adaptive sports equipment Humanized design method. Aiming at the fuzziness of the industrial design of human adaptive sports equipment, fuzzy mathematics theory is used as an analysis tool, combined with the actual characteristics of the industrial design of human adaptive sports equipment, focusing on the nature of industrial design under fuzzy theory. Comprehensive analysis and understanding of design-related factors, and the introduction of …expert survey method in the case of no basic data source in innovative design, to obtain the weight value of single factor influence, this will help designers grasp the main contradiction, achieve a targeted, and Solve key problems with higher efficiency. Subsequent use of fuzzy mathematics tools to put forward a quantitative index for the selection of options, which will help analyze the pros and cons of the various options, so as to provide a reliable reference for decision makers. This method makes up for the shortcomings of traditional methods in the process of design factor analysis and program selection. Show more

Keywords: Human body adaptation, sports equipment, industrial design, fuzzy mathematics

DOI: 10.3233/JIFS-189449

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Cui, Di

Article Type: Research Article

Abstract: Image segmentation is very important for various fields. With the development of computer technology, computer technology has become more and more effective for image segmentation, and it is studied on the basis of partial differential equations. The curve representation method in plane differential geometry is expounded, with the SegNet-v2 segmentation model analyzed and tested in medical image segmentation. The test results show that the partial differential equation image segmentation algorithm can achieve more accurate segmentation, especially in medical image segmentation, which can achieve good results, and it is worth in practice to further promote.

Keywords: Partial differential equation, image segmentation, algorithm analysis

DOI: 10.3233/JIFS-189434

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Sun, Tingting | Lv, Xingjun | Cai, Yakun | Pan, Yuqing | Huang, Jianchang

Article Type: Research Article

Abstract: The thesis starts with the connotation and attributes of software testing quality, introduces software testing quality evaluation methods, and analyzes and discusses software testing quality evaluation models based on fuzzy mathematics theory. Focusing on the key technical problems of software testing quality, discuss the key technologies to solve the software testing quality evaluation model establishment. Through the use of fuzzy models, the cost of software testing quality evaluation is effectively reduced, and the reliability of software testing quality evaluation methods is improved. This model can quickly evaluate the quality of software testing, can avoid the occurrence of local maxima, overcome …the shortcomings of existing evaluation models and tools, and can correctly reflect the relationship between the internal and external properties of the software. Using the new software testing quality evaluation method, comparing the evaluation models and tools used before, summarizing the methods of software testing quality improvement. The application of these methods effectively improves the software testing quality. Show more

Keywords: Fuzzy mathematics, fuzzy evaluation, software quality, test quality

DOI: 10.3233/JIFS-189451

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Xie, Yun

Article Type: Research Article

Abstract: The urban rail transit power supply system is an important part of the urban power distribution network and the power source of the rail transit system. It is responsible for providing safe and reliable electrical energy to urban rail trains and power lighting equipment. This paper processes the obtained long-period rail transit power load learning sample data matrix, according to the principle of normalization processing, effectively eliminates irregular data in the sample set and fills in possible missing data, thereby eliminating bad data or fake data for model learning. Moreover, this avoids the generation of huge errors that cause exponential …growth in the model due to the increase in the learning sample size and the irregularity of the data. According to the characteristics of power load, this paper comprehensively considers the influence of temperature and date type on the maximum daily load, applies the fuzzy neural network model to the long-period load forecasting of long-period rail transit, and introduces the whole process of establishing the forecasting model in detail. Through detailed analysis of the actual data provided by the EUNITE network, the relevant factors affecting the daily maximum load were determined, and then the appropriate fuzzy input was selected to establish the corresponding fuzzy neural network prediction model, and a relatively ideal prediction result was obtained. The experimental results fully proved the great potential of fuzzy neural network in long-term power load forecasting. Show more

Keywords: Power load forecasting, fuzzy neural network, fuzzy logic, rail transit

DOI: 10.3233/JIFS-189446

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Wang, Ruijuan | Zhuo, Wei

Article Type: Research Article

Abstract: The image intelligent processing analysis technology uses a computer to imitate and execute some intellectual functions of the human brain, and realizes an image processing system with artificial intelligence, that is, an image processing analysis technology is an understanding of an image. The degree of intelligent automated analysis and processing is low, many operations need to be done manually, causing human error, inaccurate detection, and time-consuming and laborious. Deep learning method can extract features step by step in the original image from the bottom to the top. Therefore, based on feature analysis technology, this paper uses the deep learning method …to intelligently and automatically analyse the visual image. This method only needs to send the image into the system, and then the manual analysis is not needed, and the analysis result of the final image can be obtained. The process is completely intelligent and automatically processed. First, improve the deep learning model and use massive image data to choose and optimize parameters. Results indicate that our method not only automatically derives the semantic information of the image, but also accurately understands the image accurately and improve the work efficiency. Show more

Keywords: Image intelligent, automatic processing analysis, deep learning

DOI: 10.3233/JIFS-189447

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020