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  • Open Access

    ARTICLE

    Colouring of COVID-19 Affected Region Based on Fuzzy Directed Graphs

    Rupkumar Mahapatra1, Sovan Samanta2, Madhumangal Pal1, Jeong-Gon Lee3,*, Shah Khalid Khan4, Usman Naseem5, Robin Singh Bhadoria6

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1219-1233, 2021, DOI:10.32604/cmc.2021.015590 - 22 March 2021

    Abstract Graph colouring is the system of assigning a colour to each vertex of a graph. It is done in such a way that adjacent vertices do not have equal colour. It is fundamental in graph theory. It is often used to solve real-world problems like traffic light signalling, map colouring, scheduling, etc. Nowadays, social networks are prevalent systems in our life. Here, the users are considered as vertices, and their connections/interactions are taken as edges. Some users follow other popular users’ profiles in these networks, and some don’t, but those non-followers are connected directly to… More >

  • Open Access

    ARTICLE

    Managing Software Security Risks through an Integrated Computational Method

    Abdullah Alharbi1, Wael Alosaimi1, Hashem Alyami2, Mohd Nadeem3, Mohd Faizan3, Alka Agrawal3, Rajeev Kumar3,4,*, Raees Ahmad Khan3

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 179-194, 2021, DOI:10.32604/iasc.2021.016646 - 17 March 2021

    Abstract Security risk evaluation of web-based healthcare applications is important from a design perspective. The developers as well as the users need to make sure that the applications must be secure. Citing the disastrous effects of unsecured web applications, Accuntix Online states that the IT industry has lost millions of dollars due to security theft and malware attacks. Protecting the integrity of patients’ health data is of utmost importance. Thus, assessing the security risk of web-based healthcare applications should be accorded the highest priority while developing the web applications. To fulfill the security requirements, the developers must… More >

  • Open Access

    ARTICLE

    New Fuzzy Fractional Epidemic Model Involving Death Population

    Prasantha Bharathi Dhandapani1, Dumitru Baleanu2,3,4,*, Jayakumar Thippan1, Vinoth Sivakumar1

    Computer Systems Science and Engineering, Vol.37, No.3, pp. 331-346, 2021, DOI:10.32604/csse.2021.015619 - 08 March 2021

    Abstract In this research, we propose a new change in classical epidemic models by including the change in the rate of death in the overall population. The existing models like Susceptible-Infected-Recovered (SIR) and Susceptible-Infected-Recovered-Susceptible (SIRS) include the death rate as one of the parameters to estimate the change in susceptible, infected and recovered populations. Actually, because of the deficiencies in immunity, even the ordinary flu could cause death. If people’s disease resistance is strong, then serious diseases may not result in mortalities. The classical model always assumes a closed system where there is no new birth… More >

  • Open Access

    ARTICLE

    Impact of Tools and Techniques for Securing Consultancy Services

    Wael Alosaimi1, Abdullah Alharbi1, Hashem Alyami2, Masood Ahmad3, Abhishek Kumar Pandey3, Rajeev Kumar3,4,*, Raees Ahmad Khan3

    Computer Systems Science and Engineering, Vol.37, No.3, pp. 347-360, 2021, DOI:10.32604/csse.2021.015284 - 08 March 2021

    Abstract In a digital world moving at a breakneck speed, consultancy services have emerged as one of the prominent resources for seeking effective, sustainable and economically viable solutions to a given crisis. The present day consultancy services are aided by the use of multiple tools and techniques. However, ensuring the security of these tools and techniques is an important concern for the consultants because even a slight malfunction of any tool could alter the results drastically. Consultants usually tackle these functions after establishing the clients’ needs and developing the appropriate strategy. Nevertheless, most of the consultants… More >

  • Open Access

    ARTICLE

    Optimal Solution of Fuzzy Transportation Problem Using Octagonal Fuzzy Numbers

    D. Gurukumaresan1,*, C. Duraisamy1, R. Srinivasan2

    Computer Systems Science and Engineering, Vol.37, No.3, pp. 415-421, 2021, DOI:10.32604/csse.2021.014130 - 08 March 2021

    Abstract In this paper a fuzzy transportation problem under a fuzzy environment is solved using octagonal fuzzy numbers. The transportation problem is significant and has been widely studied in the field of applied mathematics to solve a system of linear equations in many applications in science. Systems of concurrent linear equations play a vital major role in operational research. The main perspective of this research paper is to find out the minimum amount of transportation cost of some supplies through a capacitated network formerly the availability and the demand notes are octagonal fuzzy numbers. Octagonal fuzzy More >

  • Open Access

    ARTICLE

    Multi-Model Fuzzy Formation Control of UAV Quadrotors

    Abdul-Wahid A. Saif1, Mohammad Ataur-Rahman1, Sami Elferik1, Muhammad F. Mysorewala1, Mujahed Al-Dhaifallah1,*, Fouad Yacef2

    Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 817-834, 2021, DOI:10.32604/iasc.2021.015932 - 01 March 2021

    Abstract In this paper, the formation control problem of a group of unmanned air vehicle (UAV) quadrotors is solved using the Takagi–Sugeno (T–S) multi-model approach to linearize the nonlinear model of UAVs. The nonlinear model sof the quadrotor is linearized first around a set of operating points using Taylor series to get a set of local models. Our approach’s novelty is in considering the difference between the nonlinear model and the linearized ones as disturbance. Then, these linear models are interpolated using the fuzzy T–S approach to approximate the entire nonlinear model. Comparison of the nonlinear… More >

  • Open Access

    ARTICLE

    Analyzing the Implications of COVID-19 Pandemic: Saudi Arabian Perspective

    Shakeel Ahmed*, Abdulaziz Alhumam

    Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 835-851, 2021, DOI:10.32604/iasc.2021.015789 - 01 March 2021

    Abstract Most of the patients diagnosed with COVID-19 pandemic usually suffer from mild-to-serious respiratory illness and become stable without any specific care. In fact, in some countries like India the mortality rate is as low. Those who are amongst the most vulnerable groups are the elderly and the ones with chronic ailments like diabetes, heart ailments, and respiratory ailments. However, apart from the impact on the physical health of the patients, this disease has had a more debilitating affect on the mental as well as emotional well-being of the people. Due to continuous watching and protection… More >

  • Open Access

    ARTICLE

    Integrity Assessment of Medical Devices for Improving Hospital Services

    Fahad A. Alzahrani1, Masood Ahmad2, Mohd Nadeem2, Rajeev Kumar2,3,*, Raees Ahmad Khan2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3619-3633, 2021, DOI:10.32604/cmc.2021.014869 - 01 March 2021

    Abstract The present study examines the various techniques being used to maintain the integrity of the medical devices, and develops a quantitative framework to list these in the sequence of priority. To achieve the intended objective, the study employs the combined procedure of Fuzzy Analytic Network Process (ANP) and Fuzzy Technical for Order Preference by Similarities to Ideal Solution (TOPSIS). We selected fuzzy based decision making techniques for assessing the integrity of medical devices. The suggested methodology was then used for classifying the suitable techniques used to evaluate the integrity of medical devices. Different techniques or… More >

  • Open Access

    ARTICLE

    Multi-Span and Multiple Relevant Time Series Prediction Based on Neighborhood Rough Set

    Xiaoli Li1, Shuailing Zhou1, Zixu An2,*, Zhenlong Du1

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3765-3780, 2021, DOI:10.32604/cmc.2021.012422 - 01 March 2021

    Abstract Rough set theory has been widely researched for time series prediction problems such as rainfall runoff. Accurate forecasting of rainfall runoff is a long standing but still mostly significant problem for water resource planning and management, reservoir and river regulation. Most research is focused on constructing the better model for improving prediction accuracy. In this paper, a rainfall runoff forecast model based on the variable-precision fuzzy neighborhood rough set (VPFNRS) is constructed to predict Watershed runoff value. Fuzzy neighborhood rough set define the fuzzy decision of a sample by using the concept of fuzzy neighborhood.… More >

  • Open Access

    ARTICLE

    Spherical Linear Diophantine Fuzzy Sets with Modeling Uncertainties in MCDM

    Muhammad Riaz1, Masooma Raza Hashmi1, Dragan Pamucar2, Yuming Chu3,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 1125-1164, 2021, DOI:10.32604/cmes.2021.013699 - 19 February 2021

    Abstract The existing concepts of picture fuzzy sets (PFS), spherical fuzzy sets (SFSs), T-spherical fuzzy sets (T-SFSs) and neutrosophic sets (NSs) have numerous applications in decision-making problems, but they have various strict limitations for their satisfaction, dissatisfaction, abstain or refusal grades. To relax these strict constraints, we introduce the concept of spherical linear Diophantine fuzzy sets (SLDFSs) with the inclusion of reference or control parameters. A SLDFS with parameterizations process is very helpful for modeling uncertainties in the multi-criteria decision making (MCDM) process. SLDFSs can classify a physical system with the help of reference parameters. We… More >

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