A new intuitionistic fuzzy best worst method for deriving weight vector of criteria and its application

Wei-feng, Liu; Du, Yunfei; Chang, Juan

doi:10.1007/s10462-023-10439-x

Cited by 5 publications

(1 citation statement)

References 54 publications

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“…Fewer numbers of pairwise comparisons and achieving more consistent pairwise comparisons are the advantages of this method over other multi-criteria techniques [26,28]. The steps of fuzzy BWM are [29][30][31]:…”

Section: A the Fuzzy Best-worst Methods (Bwm)mentioning

confidence: 99%

Prioritizing Road Maintenance: A Framework integrating Fuzzy Best-Worst Method and VIKOR for Multi-Criteria Decision Making

Hasan,

Jaber

2024

Eng. Technol. Appl. Sci. Res.

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A nation’s development depends on its transport networks, particularly the road network, which plays a crucial role in the country’s economic and social advancement and well-being. However, roads are subject to deterioration due to weather conditions, traffic loading, and construction quality. If they are not maintained properly, they will quickly worsen over time, resulting in reduced mobility and accessibility. To develop and maintain a good road network, careful planning is needed, which covers all aspects of road maintenance, funding, construction, quality, and other criteria. However, due to limited budgets, not all roads can be maintained and rehabilitated at the same time. Road maintenance priority and optimal use of insufficient funding are the most challenging problems the authorities face. The development of a systematic approach is essential to formulate appropriate maintenance policies. This is why the concept of road maintenance prioritization is essential. Additionally, industry experts have also identified a lack of a Multi-Criteria Decision Making (MCDM) technique that can incorporate the views of all Decision Makers (DMs) in the road maintenance prioritization process. This study aims to propose a framework for prioritizing road maintenance using MCDM techniques in a fuzzy environment. A case study that considers 20 criteria was conducted. The study integrated two MCDM techniques, namely the Fuzzy Best-Worst Method (BWM) and VIKOR, to help DMs evaluate and rank the alternatives, on the basis of the selected maintenance criteria. The aim of this framework is to enhance the decision-making process with impartiality and reliability and to assist in reaching an optimal decision. By comparing the Q values for each alternative, A5 was revealed to have higher priority over the other roads in terms of maintenance and rehabilitation activities.

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Section: A the Fuzzy Best-worst Methods (Bwm)mentioning

confidence: 99%

Prioritizing Road Maintenance: A Framework integrating Fuzzy Best-Worst Method and VIKOR for Multi-Criteria Decision Making

Hasan,

Jaber

2024

Eng. Technol. Appl. Sci. Res.

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An integrated multi-polar fuzzy N-soft preference ranking organization method for enrichment of evaluations of the digitization of global economy

Akram,

Sultan,

Deveci

2024

Artif Intell Rev

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Digitization represents the ultimate expression of globalization that has revolutionized every facet of global existence, enhancing connectivity, financial terms, trade opportunities, and public services. To further broaden or fortify this digital realm and advance global progress, various strategies for multi-criteria group decision-making (MCGDM) have been developed. This research article extends the literature study on the sensational MCGDM method known as Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), which shares the burden of selecting the best alternative under many terms and conditions. This article aims to make a positive contribution to the development of the digital world. The main principle of the PROMETHEE technique is to calculate positive and negative flows of the selected options according to the divergence of the alternatives’ scores. It provides us with partial and full rankings of options by determining score degrees, suitable preference functions, and a multi-criteria preference index. To deal with the multi-polarity of the modern world and assign N-ordered levels, this paper proposes the multi-polar fuzzy N-soft (mFNS) PROMETHEE technique. Prior to this, an Analytic Hierarchy Process (AHP) technique is applied to guarantee the credibility of the criterion weights for each criterion. After that, the whole strategy of m-polar fuzzy N-soft PROMETHEE approach to order the selected options is explained, and all the course of action of this remarkable (MCGDM) technique are synchronized in an extensive flowchart, helping us to learn more about the technology keenly. Moreover, the utility of our discussed technology is illustrated by considering two applications of generating electricity through human movement and choosing the best digital currency. The most suitable choice is extracted with the help of the outranked directed graph. The results obtained by mFNS PROMETHEE technique benefits us with the selection of most reliable source to digitized the global economy, in addition, It enables us to rank the alternatives from most preferable to least one, that not only saves time but also produces the better outcomes. Subsequently, the eminence of mFNS PROMETHEE technology is checked by comparability with the prior art. Lastly, the advantages and disadvantages of our proposed technique are supplemented to demonstrate its productivity and shortcomings.

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Pyramid-Shaped Indicators: Evaluating the Robustness of Scheme Comparisons Under Weight Uncertainty

Yue,

Zhang,

2024

Soc Indic Res

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A new intuitionistic fuzzy best worst method for deriving weight vector of criteria and its application

Cited by 5 publications

References 54 publications

Prioritizing Road Maintenance: A Framework integrating Fuzzy Best-Worst Method and VIKOR for Multi-Criteria Decision Making

Prioritizing Road Maintenance: A Framework integrating Fuzzy Best-Worst Method and VIKOR for Multi-Criteria Decision Making

An integrated multi-polar fuzzy N-soft preference ranking organization method for enrichment of evaluations of the digitization of global economy

Pyramid-Shaped Indicators: Evaluating the Robustness of Scheme Comparisons Under Weight Uncertainty

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