Intelligent data driven assessment of physical education programs using circular intuitionistic fuzzy MAIRCA CRITIC model [PDF]
Scientific ReportsThis study presents an intelligent multi-criteria evaluation framework for physical education (PE) systems by integrating the circular intuitionistic fuzzy (CIF) environment with a hybrid MAIRCA (multi-attributive ideal-real comparative analysis)-CRITIC ...
Xiaofei Shi, Fei Li
exaly +5 more sources
An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19 [PDF]
Neural Computing and Applications, 2022 All over the world, the COVID-19 outbreak seriously affects life, whereas numerous people have infected and passed away. To control the spread of it and to protect people, appreciable vaccine development efforts continue with increasing momentum.
Fatih Ecer
exaly +5 more sources
DIBR–DOMBI–FUZZY MAIRCA Model for Strategy Selection in the System of Defense
Discrete Dynamics in Nature and Society, 2023 Strategic management has applications in many areas of social life. One of the basic steps in the process of strategic management is formulating a strategy by choosing the optimal strategy.
Duško Tešić +4 more
doaj +4 more sources
Pythagorean fuzzy MAIRCA CRITIC for energy price and demand forecasting involving eco economic factors for sustainable economy [PDF]
Scientific ReportsSustainable economies require effective energy planning that goes beyond relying on functioning forecasting models to comprehend energy dynamics, and also provides well-defined decision-making (DM) models that can address risk, ambiguity, and conflicting
Xiaoyu Zhang
doaj +3 more sources
Innovation Performance Analysis of G20 Countries: A Novel Integrated LOPCOW-MAIRCA MCDM Approach Including the COVID-19 Period [PDF]
Verimlilik Dergisi, 2023 Purpose: This study aims to examine the innovation performance of G20 countries in 2018-2022 with multi criteria decision making methods. When the 5-year performance was analyzed, it was also revealed whether the COVID-19 outbreak has an impact on the ...
Tayfun Öztaş, Gülin Zeynep Öztaş
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Multi-Criteria Decision Making in the PMEDM Process by Using MARCOS, TOPSIS, and MAIRCA Methods
Applied Sciences (Switzerland), 2022 Multi-criteria decision making (MCDM) is used to determine the best alternative among various options. It is of great importance as it hugely affects the efficiency of activities in life, management, business, and engineering.
Ngoc Pi Vu
exaly +4 more sources
A novel decision making approach based on Picture Hesitant Fuzzy Environment for optimizing art education strategies [PDF]
Scientific ReportsStrategy evaluation in art education entails complicated and unpredictable choices, as the judgments on the part of the expert evaluators are subjective and interconnected with performance requirements.
Yaojia Liu
doaj +2 more sources
A hybrid pythagorean fuzzy decision-making model for evaluating corporate environmental behavior through social responsibility dimensions [PDF]
Scientific ReportsThe assessment of the corporate environmental conduct in the context of social responsibility is a complex decision-making (DM) problem because of the contradictory evaluation criteria, qualitative judgments, and enormous uncertainties in the ...
Qing Sun
doaj +2 more sources
A hybrid evaluation model for intelligent manufacturing under uncertainties by integrating human-machine systems and automation strategies [PDF]
Scientific ReportsThe accelerated development of intelligent manufacturing places a high demand on the ability to evaluate the processes that can manage the uncertainty in human-machine integration and choice of automation strategy.
Zhongbo Chen
doaj +2 more sources
A Fermatean fuzzy CRITIC-MAIRCA fusion model for automated vocal performance evaluation in a.i. assisted decision support systems [PDF]
Scientific ReportsAutomated vocal performance assessment requires the integration of objective acoustic analysis and subjective expert opinions under uncertainty. Nevertheless, all current AI-based scoring methods ignore the issue of expert hesitation, whereas traditional
Bing Zhao, Sile Huang
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