A novel gray FUCOM method and its application for better video games experiences

Nemati, Alireza; Zolfani, Sarfaraz Hashemkhani; Khazaelpour, Payam

doi:10.1016/j.eswa.2023.121041

Cited by 5 publications

(1 citation statement)

References 60 publications

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“…The FUCOM is a relatively recent methodology for determining the weight coefficients of criteria, notable for its straightforward mathematical framework and minimal procedural steps [31]. Its application has been wide-ranging, covering diverse research fields such as human resources [32], maintenance [33], the video game industry [34], construction machinery selection [35,36], the electric car industry [37], postal traffic [38], healthcare management [39,40], and location problems [41,42], among others. The mathematical formulation of this method is detailed in the following section [31].…”

Section: Fucom Methodsmentioning

confidence: 99%

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Tešić,

Božanić

2023

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In contemporary military contexts, the determination of an optimal course of action (COA) in combat operations emerges as a critical challenge. This study delineates a decision support methodology for military applications, employing sophisticated decision analysis techniques. The initial phase entails the identification of pivotal criteria for assessing and ranking COAs, followed by the assignment of weight coefficients to each criterion via the full consistency method (FUCOM). Subsequently, the Einstein weighted arithmetic average operator (EWAA) was utilized for the aggregation of expert opinions, ensuring a consensual evaluation of these criteria and culminating in the final values of their weight coefficients. The ensuing phase focuses on the selection of an optimal COA, incorporating the grey complex proportional assessment (COPRAS-G) method. This method addresses uncertainties and varying criterion values. Expert ratings were again aggregated using the EWAA operator. The findings from this phase are designed to provide military commanders with precise, data-driven guidance for decision-making. To validate and verify the stability of the proposed model, a series of tests were conducted, including a rank reversal test, sensitivity analysis regarding changes in weight coefficients, and a comparative analysis with alternative methods. These assessments uniformly indicated the model's consistency, stability, and validity as a military decision support tool. Emphasizing a high degree of confidence in COA selection, the methodology advocated herein is applicable to decision-making processes in the planning and execution of military operations. The uniform application of professional terms, consistent with the broader context of this research, ensures clarity and coherence in its presentation. The approach outlined in this study stands as a testament to rigorous analytical methodologies in the realm of military strategic planning, offering a robust framework for decision-making under conditions of uncertainty and complexity.

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Section: Fucom Methodsmentioning

confidence: 99%

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Tešić,

Božanić

2023

ATAMS

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An intuitionistic fuzzy based hybrid decision-making approach to determine the priority value of indicators and its application to solar energy feasibility analysis

Majumder,

Bhowmik,

Das

et al. 2023

Optik

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Investigation and Comparative Assessment of Surface Water Quality for Drinking Purposes by Using Relief Algorithm, GIS, and Machine Learning: A Case Study of Mahanadi River Basin, Odisha (India)

Das

2024

MATEC Web Conf.

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Surface water is the best source of drinking water available. However, climate change, over-pumping, and a variety of contaminants have all led to the depletion of this valuable resource. Conducting surface water quality assessments for home usage, especially drinking water, is essential to safeguarding human health and effectively managing resources. In this study, this work has highlighted an evaluation of surface water quality of river Mahanadi, Odisha, for drinking purposes using Relief Algorithm (RA) based WQI (RA-WQI), with reliability-based MLs (Machine Learning) such as Weight of Evidence (WOE) have been employed. For this, water samples from 19 locations were taken for a period of 2018-2023, to test 20 physicochemical parameters in the selected sampling sites. The findings indicated that although pH changes, the water is alkaline and its value spanned from 7.73 to 7.9. The concentration of coliform and TKN is found to be higher at all locations. The highest levels of Cl- and SO42- are located close to the downstream area. Based on the results, anions and cations are observing a shift in the trend, i.e., Fe2+ > B+ and Cl- > SO42- > NO3- > F- respectively, throughout the occupied duration. Further, the calculated RAWQI revealed that 63.16% belong to poor water quality while 31.57% of sites come under the zone of excellent water. However, 5.26% of samples indicated an unsuitable water class. The analysis primarily revealed that at 8 samples, the main cause could be deterioration of domestic water, illegally dumped municipal solid waste, and agricultural runoff were the leading sources causing adulteration of the river’s water quality. As a result, a renowned ML models, such as WOE, were adopted and it suggests location SP-(9) was the most polluted in comparison with other locations, followed by SP-(8), (19), and (2) respectively. Following this, the analytic findings also suggests from the highest RA-WQI values that consists of 488, 243, 277 and 285 at this location. However, it was relevant that the degree of pollution at these stations was more closely linked to a wide range of expanding human activities, such as excessive water use, fertilizer effects, agricultural runoff, and industrial activity in and around the river corridor. According to the drinking water quality indices, the surface water in the area under investigation is classified as suitable for human consumption. Thus, the results illuminate the preservation and distribution of drinkable and irrigable surface water supplies, and provide decision-makers with a valuable resource for implementing successful surface water protection strategies in the area under study.

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A novel gray FUCOM method and its application for better video games experiences

Cited by 5 publications

References 60 publications

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

An intuitionistic fuzzy based hybrid decision-making approach to determine the priority value of indicators and its application to solar energy feasibility analysis

Investigation and Comparative Assessment of Surface Water Quality for Drinking Purposes by Using Relief Algorithm, GIS, and Machine Learning: A Case Study of Mahanadi River Basin, Odisha (India)

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