A Weighted Information Fusion Method Based on Sentiment Knowledge for Emergency Decision-Making Considering the Public and Experts

Xu, Xuanhua; Zheng, Kaixia; Pan, Bin

doi:10.1007/s10726-023-09865-7

Cited by 2 publications

References 36 publications

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How Can Risk-Averse and Risk-Taking Approaches be Considered in a Group Multi-Criteria Decision-Making Problem?

Kheybari,

Mehrpour,

Bauer

et al. 2024

Group Decis Negot

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We propose an alternative decision-making methodology based on adopting a mixed risk-averse and risk-taking behavior, improving the objectivity of decision-making. We demonstrate the methodology by prioritizing Iranian tourism centers’ activity under pandemic conditions, providing insights to policymakers on those to keep active or reduce the activity of – hence, those worth developing ahead of future disease outbreaks. This research follows a three-step methodology. First, criteria for evaluation are identified and categorized into tourist attractions, infrastructure, and healthcare dimensions. Second, criterion weights are calculated based on expert opinions, collected using a best-worst method-based questionnaire. Third, tourism centers are evaluated by employing risk-averse and risk-taking best-worst methods. We identify popular attractions, general services, and drugstore accessibility as the primary indicators of tourist attractions, infrastructure, and healthcare, respectively. By clustering tourism centers using K-means algorithm, we find that, in order, the cities of Semnan, Kerman and Zahedan are the tourism centers most suited to staying active during disease outbreaks. For multi-criteria decision-making problems that rely on experts’ evaluations, the proposed methodology can improve the reliability of decision-making. The methodology and framework presented can be used to support various types of decision-making, including evaluation, ranking, selection or sorting.

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How Can Risk-Averse and Risk-Taking Approaches be Considered in a Group Multi-Criteria Decision-Making Problem?

Kheybari,

Mehrpour,

Bauer

et al. 2024

Group Decis Negot

View full text Add to dashboard Cite

show abstract

A Novel Index Weight Determination Method for Improving Objectivity

Ma,

Li,

et al. 2024

Preprint

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The index weight determines the scientificity and rationality of the comprehensive evaluation results. However, the traditional index calculation method, which is scored directly by decision-makers, excessively depends on the degree of experience and knowledge accumulation of decision-makers. Different decision-makers’ understandings of the index have great differences and fuzziness, which makes the weight calculation results biased or even wrong due to the influence of human subjective factors. To solve this problem, this paper considers that the index weight value contains the decision-makers’ personal subjective information and common objective information, and then proposes a weight calculation approach to improve the objectivity of the index based on the Superiority of Neighboring Objectives and the Ensemble Empirical Mode Decomposition, which can eliminate the subjective information in the weight value and obtain a more objective weight value. Finally, the rationality and objectivity of the proposed method are verified by comparing them with the classical AHP, subjective weighting method and objective weighting method.

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A Weighted Information Fusion Method Based on Sentiment Knowledge for Emergency Decision-Making Considering the Public and Experts

Cited by 2 publications

References 36 publications

How Can Risk-Averse and Risk-Taking Approaches be Considered in a Group Multi-Criteria Decision-Making Problem?

How Can Risk-Averse and Risk-Taking Approaches be Considered in a Group Multi-Criteria Decision-Making Problem?

A Novel Index Weight Determination Method for Improving Objectivity

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