Haoran Huang¹, Qinyong Lin², Weitong Chen³, Kai Fang⁴, Huazhou Chen⁵, Ken Cai^2,*

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1303-1320, 2021, DOI:10.32604/cmc.2021.016163

Abstract To better reflect the psychological behavior characteristics of loss aversion, this paper builds a double reference point decision making method for dynamic multi-attribute decision-making (DMADM) problem, taking bottom-line and target as reference pints. First, the gain/loss function is given, and the state is divided according to the relationship between the gain/loss value and the reference point. Second, the attitude function is constructed based on the results of state division to establish the utility function. Third, the comprehensive utility value is calculated as the basis for alternatives classification and ranking. Finally, the new method is used More >

Neelam Gohar^1,*, Sidra Niaz¹, Mamoona Naveed Asghar², Salma Noor¹

Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 241-259, 2021, DOI:10.32604/iasc.2021.015461

Abstract Game theory is a popular area of artificial intelligence in which the voter acknowledges his own desires and favors the person he wants to be his representative. In multi-agent systems, social choice functions help aggregate agents’ different preferences over alternatives into a single choice. Since all voting rules are susceptible to manipulation, the analysis of elections is complicated by the possibility of voter manipulation attempts. One approach to understanding elections is to treat them as an iterative process and see if we can reach an equilibrium point. Meir et al. proposed an iterative process to… More >

Mohammed Baz¹, Hosam Alhakami², Alka Agrawal³, Abdullah Baz⁴, Raees Ahmad Khan^3,*

Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 641-652, 2021, DOI:10.32604/iasc.2021.015845

Abstract Inspite of the world being at a complete standstill in the wake of unprecedented health emergency of COVID-19 pandemic, people have managed to retain their digital interactions through Information Technology. Cloud networks, departmental servers, data centres, and the digital devices have ensured that businesses and industries as well as workers across the world remain associated with each other and are connected to the organizations’ data. In such a scenario, the requirements placed on digital frames have increased rapidly. While this has proved to be a boon in the combat against the spread of Coronavirus, alarming… More >

Carlos Andrés Tavera Romero^1,*, Jesus Hamilton Ortiz², Osamah Ibrahim Khalaf³, Andrea Ríos Prado⁴

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3177-3188, 2021, DOI:10.32604/cmc.2021.014738

Abstract Multiple customer data management has become a focus of attention in big organizations. Although much information is available, it does not translate into significant profitable value-added services. We present a design of a commercial web application based on business intelligence that generates information on social and financial behavior of clients in an organization; with the purpose of obtain additional information that allows to get more profits. This app will provide a broader perspective for making strategic decisions to increase profits and reduce internal investment costs. A case in point is the financial sector, a group… More >

Tahir Mahmood¹, Wajid Ali¹, Zeeshan Ali¹, Ronnason Chinram^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 1165-1187, 2021, DOI:10.32604/cmes.2021.014393

Abstract Intuitionistic hesitant fuzzy set (IHFS) is a mixture of two separated notions called intuitionistic fuzzy set (IFS) and hesitant fuzzy set (HFS), as an important technique to cope with uncertain and awkward information in realistic decision issues. IHFS contains the grades of truth and falsity in the form of the subset of the unit interval. The notion of IHFS was defined by many scholars with different conditions, which contain several weaknesses. Here, keeping in view the problems of already defined IHFSs, we will define IHFS in another way so that it becomes compatible with other… More >

Kaustubh Arun Bhavsar¹, Jimmy Singla¹, Yasser D. Al-Otaibi², Oh-Young Song^3,*, Yousaf Bin Zikria⁴, Ali Kashif Bashir⁵

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 107-125, 2021, DOI:10.32604/cmc.2021.014604

Abstract Decision making in case of medical diagnosis is a complicated process. A large number of overlapping structures and cases, and distractions, tiredness, and limitations with the human visual system can lead to inappropriate diagnosis. Machine learning (ML) methods have been employed to assist clinicians in overcoming these limitations and in making informed and correct decisions in disease diagnosis. Many academic papers involving the use of machine learning for disease diagnosis have been increasingly getting published. Hence, to determine the use of ML to improve the diagnosis in varied medical disciplines, a systematic review is conducted… More >

Ayesha Jabeen¹, Sitara Afzal¹, Muazzam Maqsood¹, Irfan Mehmood², Sadaf Yasmin¹, Muhammad Tabish Niaz³, Yunyoung Nam^4,*

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1191-1206, 2021, DOI:10.32604/cmc.2021.014598

Abstract Stock market forecasting is an important research area, especially for better business decision making. Efficient stock predictions continue to be significant for business intelligence. Traditional short-term stock market forecasting is usually based on historical market data analysis such as stock prices, moving averages, or daily returns. However, major events’ news also contains significant information regarding market drivers. An effective stock market forecasting system helps investors and analysts to use supportive information regarding the future direction of the stock market. This research proposes an efficient model for stock market prediction. The current proposed study explores the More >

Fahad A. Alzahrani^*

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2599-2625, 2021, DOI:10.32604/cmc.2021.013124

Abstract Usability and security are often considered contradictory in nature. One has a negative impact on the other. In order to satisfy the needs of users with the security perspective, the relationship and trade-offs among security and usability must be distinguished. Security practitioners are working on developing new approaches that would help to secure healthcare web applications as well increase usability of the web applications. In the same league, the present research endeavour is premised on the usable-security of healthcare web applications. For a compatible blend of usability and security that would fulfill the users’ requirments,… More >

Manjur Kolhar^*, Abdalla Alameen

Computer Systems Science and Engineering, Vol.36, No.1, pp. 101-116, 2021, DOI:10.32604/csse.2021.014915

Abstract System supported smart parking can reduce traffic by making it stress free to locate empty parking spaces, hence lowering the risk of unfocussed driving. In this study, we propose a smart parking system using deep learning and an application-based approach. This system has two modules, one module detects and recognizes a license plate (LP), and the other selects a parking space; both modules use deep learning techniques. We used two modules that work independently to detect and recognize an LP by using an image of the vehicle. To detect parking space, only deep learning techniques… More >

Abdullah Baz^1,*, Hosam Alhakami²

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1155-1174, 2021, DOI:10.32604/cmc.2020.013215

Abstract The World Health Organization declared COVID-19 a pandemic on March 11, 2020 stating that it is a worldwide danger and requires imminent preventive strategies to minimise the loss of lives. COVID-19 has now affected millions across 211 countries in the world and the numbers continue to rise. The information discharged by the WHO till June 15, 2020 reports 8,063,990 cases of COVID-19. As the world thinks about the lethal malady for which there is yet no immunization or a predefined course of drug, the nations are relentlessly working at the most ideal preventive systems to… More >