Data Envelopment Analysis Based on Choquet Integral

Mao, Xia; Chen, Jin-Xiao

doi:10.1002/int.21901

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…(2018). As a matter of fact, using such an approach to incorporate preference information or criteria interactivity is a contemporary trend, with a few authors focusing on traditional MCDA methods for both (see, e.g., Figueira et al., 2009; Corrente et al., 2014), but on traditional DEA only for the latter (see, e.g., Ji et al., 2015; Xia and Chen, 2017). Still, so far, only Pereira et al.…”

Section: Knowledge Gapmentioning

confidence: 99%

Are the Portuguese public hospitals sustainable? A triple bottom line hybrid data envelopment analysis approach

Pederneiras

Pereira

Figueira

2021

Int Trans Operational Res

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The harmonious interaction between humans and the biosphere determines how sustainable existence and coexistence are. However, when social challenges appear, sustainability is heavily compromised. Health is one of the areas affected by such challenges, with the delivery of health services being ensured by health systems. Consequently, understanding how sustainable health services are, especially those that consume the majority of resources-hospitals-is indispensable for a sustainable future. For this reason, we propose using a hybrid data envelopment analysis (DEA) approach to study hospital sustainability in Portugal under environmental, social, and economic perspectives, in cooperation with the Portuguese Ministry of Health. In particular, the proposed methodology incorporates the preference information of decision makers (via the construction of utility scales and the determination of Möbius coefficients) and criteria interactivity, due to the integration of the Choquet multiple criteria preference aggregation model in the DEA approach. In the end, despite approximately 30% of the sampled 29 assessed hospitals were deemed as efficient across the three perspectives in 2018, only 1 was entirely sustainable.

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Section: Knowledge Gapmentioning

confidence: 99%

Are the Portuguese public hospitals sustainable? A triple bottom line hybrid data envelopment analysis approach

Pederneiras

Pereira

Figueira

2021

Int Trans Operational Res

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“…One of the biggest advantages of the DEA method is to enhance the relative efficacy of the decision-making units through optimizing the share of the weighed sum of the outputs to the weighted sum of the inputs [113][114][115][116][117][118][119][120][121]. DEA has a strong discerning ability in finding the valuable information in data [122][123][124][125]. This strength has a direct negative relationship with the number of variables, which means when the variables are more, DEA cannot reveal the useful patterns effectively [126].…”

Section: Literature Reviewmentioning

confidence: 99%

An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies

et al. 2020

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To stay competitive in a business environment, continuous performance evaluation based on the triple bottom line standard of sustainability is necessary. There is a gap in addressing the computational expense caused by increased decision units due to increasing the performance evaluation indices to more accuracy in the evaluation. We successfully addressed these two gaps through (1) using principal component analysis (PCA) to cut the number of evaluation indices, and (2) since PCA itself has the problem of merely using the data distribution without considering the domain-related knowledge, we utilized Analytic Hierarchy Process (AHP) to rank the indices through the expert’s domain-related knowledge. We propose an integrated approach for sustainability performance assessment in qualitative and quantitative perspectives. Fourteen insurance companies were evaluated using eight economic, three environmental, and four social indices. The indices were ranked by expert judgment though an analytical hierarchy process as subjective weighting, and then principal component analysis as objective weighting was used to reduce the number of indices. The obtained principal components were then used as variables in the data envelopment analysis model. So, subjective and objective evaluations were integrated. Finally, for validating the results, Spearman and Kendall’s Tau correlation tests were used. The results show that Dana, Razi, and Dey had the best sustainability performance.

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“…Thus, the data should first be analyzed to extract the data that are necessary for the system to be intelligently operated. [3][4][5] The data analysis methods that can process the database in diverse ways have been proposed. Data mining, which is one of the data analysis approaches, is a technique that is used to analyze the data and find useful information.…”

Section: Introductionmentioning

confidence: 99%

Efficiently mining erasable stream patterns for intelligent systems over uncertain data

et al. 2020

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Data mining is a method for extracting useful information that is necessary for a system from a database. As the types of data processed by the system are diversified, the transformed pattern mining techniques for processing these type of data have been proposed. Unlike the traditional pattern mining methods, erasable pattern mining is a technique for finding the patterns that can be removed by coming with a small profit. Erasable pattern mining should be able to process data by considering both the environment that the data are generated from and the characteristics of the data. An uncertain database is a database that is composed of uncertain data. Since erasable patterns discovered from uncertain data contain significant information, these patterns need to be extracted. In addition, databases gradually increase, because the data from various fields is generated and accumulated over data streams. Data streams should be processed as intelligently as possible to provide the useful data to the system in real time. In this paper, we propose an efficient erasable pattern mining algorithm that processes uncertain data that is generated over data streams. The uncertain erasable patterns discovered through the suggested technique are more meaningful information by considering the probability of the item and the profit. Moreover, the proposed method can perform efficient mining operations by using both tree and list structures. The performance of the suggested algorithm is verified through the performance tests compared with state‐of‐the‐art algorithms using real data sets and synthetic data sets.

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Data Envelopment Analysis Based on Choquet Integral

Cited by 8 publications

References 29 publications

Are the Portuguese public hospitals sustainable? A triple bottom line hybrid data envelopment analysis approach

Are the Portuguese public hospitals sustainable? A triple bottom line hybrid data envelopment analysis approach

An integrated Multi-Criteria Decision Making Model for Sustainability Performance Assessment for Insurance Companies

Efficiently mining erasable stream patterns for intelligent systems over uncertain data

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