COVID-19 Decision-Making Model using Extended Plithogenic Hypersoft Sets with Dual Dominant Attributes

Author(s):  
Nivetha Martin ◽  
◽  
Florentin Smarandache ◽  
Broumi said ◽  
◽  
...  

Plithogenic Hypersoft set is the multi-argument function with plithogenic universe of discourse and single dominant attribute value. The theory of plithogenic sets deals with the attributes and it is of the form (P, a, V, d, c) characterized by the degree of appurtenance and contradiction. This paper introduces the approach of plithogenic hypersoft sets with two independent dominant attribute values pertaining to each attribute to handle the dual system of decision making. The proposed decision-making model is validated with the data of the present COVID -19 pandemic situations. The objective of the model is to rank the patients being identified as asymptotic and affected using the Frequency Matrix Multi Attributes Decision-making system. Combined plithogenic hypersoft representations of the degree of appurtenance between the patients and the attribute values make the decision-making model more comprehensive and feasible. The developed model can be extended to another decision-making environment with various forms of the degree of appurtenance.

2016 ◽  
Vol 23 (2) ◽  
pp. 194-203 ◽  
Author(s):  
Albert de la FUENTE ◽  
Jaume ARMENGOU ◽  
Oriol PONS ◽  
Antonio AGUADO

A multi-criteria decision-making system based on the MIVES method is presented as a model for assessing the global sustainability index scores of existing wind-turbine support systems. This model is specifically designed to discriminate between tower systems in order to minimize the subjectivity of the decision and, thus, facilitate the task of deciding which system is best for a given set of boundary conditions (e.g., height, turbine power, soil conditions) and economic, social and environmental requirements. The model’s versatility is proven by assessing the sustainability index of an innovative new precast concrete tower alternative also described in this paper. As a result of this analysis, some points of improvement in the new system have been detected.


2021 ◽  
Vol 236 ◽  
pp. 05036
Author(s):  
Wen Mi ◽  
Wen Jing ◽  
Wu Xiao-feng ◽  
Zhang Yi-ming ◽  
Fang Qiang

This paper puts forward the concept of incentive utility, which converts the value of each attribute in multi-attribute decision-making into a unified index for measurement, thus simplifying multi-attribute decision-making. In this paper, a comprehensive evaluation model based on the TOPSIS of incentive utility is established. Through the establishment of incentive index, the utility of incentive and the calculation of ideal point of utility, the disadvantage of "ideal point is not ideal" in the TOPSIS is overcome. It can better synthesize the sub-attribute value and realize the subjective multi-attribute decision-making. The example shows that the model can apply subjective factors to decision-making scientifically, and the result is more reasonable and effective.


Hepatitis is a kind of inflammation which attacks the body's organ known as liver. Hepatitis itself is divided into commonly known types namely Hepatitis A, B, and C. however, there exist other types of hepatitis called D, E, G which are not familiar. The understanding of patients regarding hepatitis is an obstacle in healing. The thing that is needed is to regulate diet and avoid foods that are prohibited (high sodium, high saturated fat, high sugar, and high protein). Hepatitis sufferers must pay attention to food patterns, must control foods consumed daily, must consume food with low salt, low saturated fat, low in sugar, and low in protein to reduce the risk of not worsening the condition of people with hepatitis. The decision making system determines the hepatitis food criterion using 5 criteria’s, namely the presence of high sodium, high saturated fat, high protein, high sugar, and high iron. While the Analytical Hierarchy Process (AHP) method is a decision making model which defines the multi-factor problems or complex multi criteria into a hierarchy. With hierarchy, a complex problem could be partitioned into smaller groups which are then ordered in a hierarchy to arrange the problem in a structural and systematic way.


2014 ◽  
Vol 543-547 ◽  
pp. 1327-1330 ◽  
Author(s):  
Wei Zhao ◽  
Wen Juan Huang ◽  
Hong Ping Yao ◽  
Jian Yu Gao

This paper describes robot soccer, it studies the organizational model of the soccer robot, and centralized decision-making system is analyzed. With the deep research of the three-layered hierarchical decision-making model on the basis of decision-making, management and executive, the paper achieves the basic control of the robot.


2020 ◽  
Vol 53 (1) ◽  
pp. 21-36
Author(s):  
Pengwei Wang ◽  
Song Gao ◽  
Liang Li ◽  
Shuo Cheng ◽  
Hailan Zhao

Autonomous driving vehicle could increase driving efficiency, reduce traffic congestion and improve driving safety, it is considered as the solution of current traffic problems. Decision making systems for autonomous driving vehicles have significant effects on driving performance. The performance of decision making system is affected by its framework and decision making model. In real traffic scenarios, the driving condition of autonomous driving vehicle faced is random and time-varying, the performance of current decision making system is unable to meet the full scene autonomous driving requirements. For autonomous driving vehicle, the division between different driving behaviors needs clear boundary conditions. Typically, in lane change scenario, multiple reasonable driving behavior choices cause conflict of driving state. The fundamental cause of conflict lies in overlapping boundary conditions. To design a decision making system for autonomous driving vehicles, firstly, based on the decomposition of human driver operation process, five basic driving behavior modes are constructed, a driving behavior decision making framework for autonomous driving vehicle based on finite state machine is proposed. Then, to achieve lane change decision making for autonomous driving vehicle, lane change behavior characteristics of human driver lane change maneuver are analyzed and extracted. Based on the analysis, multiple attributes such as driving efficiency and safety are considered, all attributes benefits are quantified and the driving behavior benefit evaluation model is established. By evaluating the benefits of all alternative driving behaviors, the optimal driving behavior for current driving scenario is output. Finally, to verify the performances of the proposed decision making model, a series of real vehicle tests are implemented in different scenarios, the real time performance, effectiveness, and feasibility performance of the proposed method is accessed. The results show that the proposed driving behavior decision making model has good feasibility, real-time performance and multi-choice filtering performance in dynamic traffic scenarios.


2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.


Informatica ◽  
2009 ◽  
Vol 20 (2) ◽  
pp. 305-320 ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Arturas Kaklauskas ◽  
Zenonas Turskis ◽  
Jolanta Tamošaitienė

2015 ◽  
Vol 1 (1) ◽  
pp. 29-34
Author(s):  
Sergei Shvorov ◽  
◽  
Dmitry Komarchuk ◽  
Peter Ohrimenko ◽  
Dmitry Chyrchenko ◽  
...  

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