A Group Decision-Making Approach in MCDM: An Application of the Multichoice Best–Worst Method

Ahmad, Qazi Shoeb; Khan, Mohammad Faisal; Ahmad, Naeem

doi:10.3390/app13126882

Cited by 2 publications

(1 citation statement)

References 57 publications

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“…They fall into two main categories: multi-objective decision making (MODM), which focuses on continuous decision spaces, and multi-attribute decision making (MADM), which focuses on discrete decision spaces. MCDMs allow for the management of preferences over alternatives with multiple attributes, which often conflict with each other [33][34][35][36][37]. Thus, once the survey responses are collected, the analysis of results for the hierarchization of sub-risks is performed through the VIKOR method.…”

Section: Linguistic Scale Valuementioning

confidence: 99%

Integration of Sustainability in Risk Management and Operational Excellence through the VIKOR Method Considering Comparisons between Multi-Criteria Decision-Making Methods

Yazo-Cabuya,

Ibeas,

Herrera-Cuartas

2024

Sustainability

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In the current context, organizations face an important challenge in managing risks related to environmental, social and governance (ESG) issues. This research presents a general method for prioritizing organizational risks with a focus on sustainability based on the characterization of five typologies of organizational risks and their respective sub-risks, based on an analysis of global reports. Subsequently, paired surveys are administered to a group of experts from various sectors, who assign importance to the organizational sub-risks. Their responses serve as the basis for the prioritization of these risks, using the VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) method, which highlights the following most relevant organizational sub-risks for each type of risk: (1) Lack of ethics in the conduct of business (geopolitical risk); (2) Deficit in economic growth (economic risk); (3) Chemical safety (social risk); (4) Massive data fraud or theft incidents (technological risk); and (5) Water depletion (environmental risk). Additionally, a sensitivity analysis is performed to determine the robustness of the results of the VIKOR method and then compare the correlation coefficients with respect to the results obtained in previous studies for the AHP and ANP methods. Finally, we propose the implementation of a model to manage organizational risks, which are addressed proactively through an integral vision, allowing for continuous improvement and alignment with corporate strategy by means of an operational excellence management system (OEMS).

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Section: Linguistic Scale Valuementioning

confidence: 99%

Integration of Sustainability in Risk Management and Operational Excellence through the VIKOR Method Considering Comparisons between Multi-Criteria Decision-Making Methods

Yazo-Cabuya,

Ibeas,

Herrera-Cuartas

2024

Sustainability

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Automatic Group Decision-Making for Algal Bloom Management Based on Information Self-Learning

Bai,

Niu,

Zhao

et al. 2024

Water

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The phenomenon of algal bloom seriously affects the function of the aquatic ecosystems, damages the landscape of urban river and lakes, and threatens the safety of water use. The introduction of a multi-attribute decision-making method avoids the shortcomings of traditional algal bloom management that relies on manual experience. However, the weight-calculation part of this method still receives the artificial influence of human factors, which reduces the accuracy and scientific rigor of the decision. This paper presents a group decision-making method based on information self-learning which makes decision weights automatically clustered and assigned. A general framework of decision-making management is constructed for the algal bloom management process. In the decision-making process, an improved density-based clustering algorithm is used to automatically cluster and rank the decision data in the form of the three-parameter interval number, and ultimately obtain the optimal management method that meets the management objectives. Finally, the method was applied at the monitoring station of Sanjiadian Reservoir in Beijing, China. Based on the treatment objectives and water quality monitoring data of the station, relevant experts were invited to evaluate the management solutions, and the information self-organizing algorithm of this paper was used to automatically rank the decision-making methods, and finally obtain the most suitable management method for the station. Comparison with the water quality data and treatment inputs after the previous man-made selection of treatment options, and discussion among experts, show that the decision-making method is feasible and effective, and contributes to the sustainable treatment of algal blooms.

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A Group Decision-Making Approach in MCDM: An Application of the Multichoice Best–Worst Method

Cited by 2 publications

References 57 publications

Integration of Sustainability in Risk Management and Operational Excellence through the VIKOR Method Considering Comparisons between Multi-Criteria Decision-Making Methods

Integration of Sustainability in Risk Management and Operational Excellence through the VIKOR Method Considering Comparisons between Multi-Criteria Decision-Making Methods

Automatic Group Decision-Making for Algal Bloom Management Based on Information Self-Learning

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