A VIKOR-Based Linguistic Multi-Attribute Group Decision-Making Model in a Quantum Decision Scenario

Xiao, Jingmei; Cai, Mei; Gao, Yu

doi:10.3390/math10132236

Cited by 4 publications

(3 citation statements)

References 57 publications

(104 reference statements)

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“…Choosing an appropriate MCDM method when solving a multi-attribute decision-making problem is essential. Different MCDM models have their own characteristics, and no MCDM method is superior to the others in all aspects [ 53 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

Luo,

Wang,

Yang

et al. 2023

PLoS ONE

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Considering economic, environmental, and social issues, the sustainability of the supply chain has drawn considerable attention due to societal and environmental changes within the supply chain network. The strategic study of the entire supply chain process and maximizing an organization’s competitive advantage depend heavily on supplier selection based on sustainable indicators. Selecting sustainable suppliers for the supply chain is challenging since it is a multi-criteria decision-making (MCDM) problem with significant uncertainty in the decision-making process. This study uses the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique and single-valued neutrosophic sets (SVNS) to deal with the challenge of choosing a sustainable supplier with insufficient information. This method reduces the influence of personal experience and preference on the final evaluation results and the problem of excessive individual regret caused by factor correlation and improves the consistency of evaluation results. Finally, the method’s success and adaptability are demonstrated by sensitivity analysis and additional comparison analysis, and the benefits and drawbacks of the suggested framework are examined. Compared to other approaches, it can assist decision-makers in communicating fuzzy and uncertain information, offering a perspective and approach for MCDM in the face of such situations, and helping them select suppliers of high caliber and who practice sustainable business practices.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

Luo,

Wang,

Yang

et al. 2023

PLoS ONE

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“…In recent years, research on the MAGDM problem of sustainable supplier selection has also yielded fruitful results. The most widely used methods to solve the problem of sustainable supplier selection include Analysis Network Procedures (ANP) method [33,34], Data Envelopment Analysis (DEA) [35][36][37], Decision Making Trial and Evaluation Laboratory (DEMATEL) [38][39][40], Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) [41][42][43], VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method [44][45][46], the best-worst method (BWM) [47][48][49], PROMETHEE [50,51] and multi-objective optimization methodology [52,53]. Most of the above studies only consider the decision information of a single period for sustainable supplier selection.…”

Section: Introductionmentioning

confidence: 99%

A multi-stage group decision making approach for sustainable supplier selection based on probabilistic linguistic time-ordered incentive operator

Zhang,

Li,

et al. 2023

PLoS ONE

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This study proposes a novel multi-stage multi-attribute group decision making method under a probabilistic linguistic environment considering the development state and trend of alternatives. First, the probabilistic linguistic term set (PLTS) is used by decision makers (DMs) to describe qualitative evaluation information. Subsequently, the weights of DMs for different attributes in different periods are determined by the credibility degree, which is combined with the hesitancy degree and the similarity degree. The evaluations of different DMs for alternatives and the evaluations of DMs’ intentions to reward or punish are then aggregated. Later, the trend change level and the trend change stability of alternatives are measured through the means of reward and punishment incentives. Additionally, the probabilistic linguistic time-ordered incentive operator is proposed to aggregate the development state evaluation information and development trend evaluation information in different periods, and alternatives are prioritized by the extended TOPSIS method in the probabilistic linguistic environment. Finally, the practical use of the proposed decision framework is validated by using a sustainable supplier selection problem, and the effectiveness and the applicability of the framework are discussed through comparative analysis. The results show that the proposed approach can select suitable sustainable suppliers by considering their development state and trend in multiple stages.

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“…Some scholars have focused on enhancing classical strategy selection models, such as Quantitative Strategic Planning Matrix (QSPM) and SWOT analysis, under conditions of uncertainty [15]. Another category of models includes the multi-criteria decision-making approach, which offers a more nuanced evaluation [16].…”

Section: Introductionmentioning

confidence: 99%

Strategic Adaptation in Travel Agencies: Integrating MARA with SWOT for Uncertainty Navigation

Kordsofla,

Sorourkhah

2023

JOSA

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In the realm of managerial decision-making, particularly within the last few decades, the process has emerged as a formidable challenge. This paper focuses on strategic decision-making, crucial in determining organizational success or failure amidst prevailing uncertainties. To address this, the Matrix Approach to Robustness Analysis (MARA), a recent innovation, is integrated with the established Strengths-Weaknesses-Opportunities-Threats (SWOT) matrix. This integration aims to deliver robust outcomes in strategic planning for travel agencies. The methodology involves a comprehensive analysis of internal and external factors pertinent to a travel agency, applying the analytical rigor of the SWOT matrix. Subsequent to this analysis, a series of strategies are formulated. Central to this study is the identification of key environmental indicators, as perceived by stakeholders, which influence strategic outcomes. Through these indicators, various future scenarios are constructed, culminating in nineteen plausible scenarios. Each strategy, totalling twelve, is then evaluated against these scenarios to ascertain the conditions under which they are most effective, resulting in a performance matrix. The final phase involves calculating the robustness analysis scores for each strategy under two different assessment conditions: rigorous and lenient. These scores provide a basis for strategy prioritization in both scenarios. The analysis reveals that the strategy of expanding new pilgrimage tours holds the greatest promise, while the employment of relatives within the agency is deemed least effective. This study contributes to the field by offering a structured methodology for travel agencies to navigate uncertain environments, using a combination of MARA and SWOT. The findings underscore the importance of scenario-based strategic planning and robustness analysis in enhancing decision-making processes.

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A VIKOR-Based Linguistic Multi-Attribute Group Decision-Making Model in a Quantum Decision Scenario

Cited by 4 publications

References 57 publications

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets

A multi-stage group decision making approach for sustainable supplier selection based on probabilistic linguistic time-ordered incentive operator

Strategic Adaptation in Travel Agencies: Integrating MARA with SWOT for Uncertainty Navigation

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