Evaluation of the survival of Yangtze finless porpoise under probabilistic hesitant fuzzy environment

Wang, Yongbing; Jia, Xinling; Zhang, Lixia

doi:10.1002/int.22898

Cited by 9 publications

(2 citation statements)

References 23 publications

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“…MCDM is a decision-making approach used to evaluate and select the best option from a set of alternative solutions when multiple criteria or factors need to be considered [36]. MCDM methods help decision-makers rank and prioritize options based on these criteria, making it easier to make informed and objective decisions [37][38][39][40]. This approach is widely applied in various fields such as engineering, management, environmental planning, and medical decision-making.…”

Section: Improved Topsis Methodsmentioning

confidence: 99%

A novel MCDM approach for design concept evaluation based on interval-valued picture fuzzy sets

Ma,

Sun,

Chen

et al. 2023

PLoS ONE

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The assessment of design concepts presents an efficient and effective strategy for businesses to strengthen their competitive edge and introduce market-worthy products. The widely accepted viewpoint acknowledges this as a intricate multi-criteria decision-making (MCDM) approach, involving a multitude of evaluative criteria and a significant amount of data that is frequently ambiguously defined and subjectively influenced. In order to tackle the problems of uncertainty and fuzziness in design concept evaluation, our research creatively combines interval-valued picture fuzzy set (IVPFS) with an MCDM process of design concept evaluation. Firstly, this study draws on the existing relevant literature and the experience of decision makers to identify some important criteria and corresponding sub-criteria and form a scientific evaluation indicator system. We then introduce the essential operational concepts of interval-valued picture fuzzy numbers (IVPFNs) and the interval-valued picture fuzzy ordered weighted interactive averaging (IVPFOWIA) operator. Thirdly, an entropy weighting method based on IVPFS is proposed in this research to calculate the weights of criteria and sub-criteria, and based on this, an integrated IVPF decision matrix is further constructed based on the presented IVPFOWIA operator. Finally, the best design concept alternative is selected by applying the extended TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) approach with IVPFS. The IVPFS combined with improved MCDM method have been proven to be superior in complex and uncertain decision-making situations through experiments and comparative assessments. The information ambiguity in the evaluation of design concept is well characterized by our augmentation based on IVPFS.

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Section: Improved Topsis Methodsmentioning

confidence: 99%

A novel MCDM approach for design concept evaluation based on interval-valued picture fuzzy sets

Ma,

Sun,

Chen

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Fang [8] introduced the hybrid entropy and hybrid cross-entropy measures for probability hesitant fuzzy sets, applying them to multi-attribute decision making. Wang et al [12] presented the axiom definition of PHF entropy for PHFS and explored the relationship between distance measures and entropy measures. Finally, they developed a probabilistic hesitant fuzzy multi-criteria decision-making (PHF-MCDM) model capable of addressing completely unknown attribute weights and used this method to assess the survival of the Yangtze finless porpoise.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Information Risk Propagation in Complex Public Opinion Environments Based on the Improved Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory Method

Luo,

Xue,

2023

Systems

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The propagation of information risk in complex public opinion environments not only leads to severe direct reputational losses for companies but also results in significant economic damages. Therefore, during the nascent stage of information risk, identifying potential propagation pathways, determining key dissemination channels, and taking timely measures become crucial. To address this issue, this paper proposes a multi-criteria decision-making method for evaluating information risk propagation in complex public opinion environments. In this method, this paper utilizes probabilistic hesitant fuzzy sets to express the evaluation information, and provide several distance and similarity measurement methods for probabilistic hesitant fuzzy elements. To ensure the rationality of the evaluation indicator weights, this study first applies these distance measurement methods to improve the Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory (GRA-DEMATEL) method for determining the objective weights of evaluation indicators. Next, this paper uses the Delphi method to establish the subjective weights of each evaluation indicator. Finally, by employing a weight synthesis operator, this paper combines the subjective and objective weights to obtain the final indicator weights. Additionally, this paper utilizes the similarity measurement methods for probabilistic hesitant fuzzy elements to improve the combined compromise solution (CoCoSo) method in evaluating and ranking potential information risk propagation pathways. Furthermore, this paper incorporates the “Probability Splitting Algorithm” to handle probabilistic hesitant fuzzy elements, enabling their application in these methodologies. Finally, based on a case study of information risk propagation in the catering industry, we conducted a sensitivity analysis and effectiveness verification of the proposed approach. The results demonstrate the effectiveness of the method and its ability to address real-world issues.

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Probabilistic Hesitant Fuzzy MEREC-TODIM Decision-Making Based on Improved Distance Measures

Liu,

Zhang,

2024

Int. J. Fuzzy Syst.

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Evaluation of the survival of Yangtze finless porpoise under probabilistic hesitant fuzzy environment

Cited by 9 publications

References 23 publications

A novel MCDM approach for design concept evaluation based on interval-valued picture fuzzy sets

A novel MCDM approach for design concept evaluation based on interval-valued picture fuzzy sets

Evaluating Information Risk Propagation in Complex Public Opinion Environments Based on the Improved Grey Relational Analysis—Decision Making Trial and Evaluation Laboratory Method

Probabilistic Hesitant Fuzzy MEREC-TODIM Decision-Making Based on Improved Distance Measures

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