An Improvement of DEA Cross-Efficiency Aggregation Based on BWM-TOPSIS

Jian, Fan; Guo, Ziwei; Wu, Meiqin

doi:10.1109/access.2020.2975240

Cited by 13 publications

(5 citation statements)

References 40 publications

(37 reference statements)

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“…In 2015, BWM was proposed by Rezaei to compare the best and worst criteria with other criteria to determine the weight of each criterion [31][32][33]. The steps of BWM are as follows:…”

Section: ) Bwmmentioning

confidence: 99%

Safety Assessment of Transport Aircraft Heavy Equipment Airdrop: An Improved STPA-BN Mechanism

Tian

Kan

et al. 2022

IEEE Access

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Aviation safety has been an eternal theme, and safety assessment is taken as the important method to assess the aircraft safety, but it is difficult to assess the safety of a heavy equipment airdrop from a transport aircraft due to mission complexity and strong coupling. This study uses an improved STPA-BN methodology to assess the safety of transport aircraft heavy equipment airdrop. To this purpose, qualitative safety analysis is performed by STPA, and then quantitative safety assessment is performed by BN. In contrast to the-state-of-the-art, the distinguishing feature of the proposed design lies in the introduction of DS evidence theory, which makes the probability of nodes in BN a priori. More precisely, best-worst multicriteria decision-making method (BWM) is skillfully incorporated into the DS evidence theory so as to tackle the conflict issue that exists in most existing designs. Importance analysis is utilized to determine the importance of the different risk nodes. A case of transport aircraft heavy equipment airdrop mission is used to test the effectiveness of the proposed method.INDEX TERMS Heavy equipment airdrop, STPA-BN, BWM, Safety assessment.

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“…In 2015, BWM was proposed by Rezaei to compare the best and worst criteria with other criteria to determine the weight of each criterion [31][32][33]. The steps of BWM are as follows:…”

Section: ) Bwmmentioning

confidence: 99%

Safety Assessment of Transport Aircraft Heavy Equipment Airdrop: An Improved STPA-BN Mechanism

Tian

Kan

et al. 2022

IEEE Access

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“…BWM involves fewer data points and pairwise comparisons in contrast to other MCDM techniques and is recognized primarily by its reference pairwise comparison (Liu et al 2020;Youssef 2020). The most significant advantage of BWM is that it significantly improves data consistency even though it is considered a subjective method (Fan et al 2020). As a relatively new technique, RAPS' methodological strength is to help overcome noted critical shortcomings of earlier MCDM tools.…”

Section: Step-by-step Using the Combined Mcdm Modelmentioning

confidence: 99%

BWM—RAPS Approach for Evaluating and Ranking Banking Sector Companies Based on Their Financial Indicators in the Saudi Stock Market

Alamoudi

Bafail

2022

JRFM

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Seeking the greatest possible return on long-term investments, investors naturally seek equities of the best-performing companies that fit their investment timeframe. Long-term investment success rests on selecting the best companies, which requires a challenging analysis reviewing voluminous and often-conflicting data about companies and understanding broader economic forecasts. This paper undertook a case study deployment of MCDM methodologies to examine the suitability and effectiveness of Multi-Criteria Decision-Making (MCDM) methods in assessing and ranking the best stocks for portfolio inclusion. A combination of MCDM techniques comprised a methodology to evaluate and rank Saudi Arabian banking stocks based on their performance in the Saudi stock market. Specifically, the paper combined the Best–Worst Method (BWM) and Ranking Alternatives by Perimeter Similarity (RAPS) for the analysis. BWM calculated each criterion’s relative impact (weight) in selecting a stock. RAPS then used the weighting to rank the results of the investigation. The study’s findings yielded encouraging results regarding using an integrated MCDM technique to derive optimal banking sector securities in the expansive Saudi stock market. The novel application of the robust RAPS technique combined with BWM encourages continued and increased use of MCDM techniques in financial matters and broader application in evaluating equities.

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“…Data envelopment analysis (DEA), introduced by Charnes et al (1978), is one of the most common methods for measuring the relative efficiency of a set of homogeneous decisionmaking units (DMUs) having the same inputs and outputs (Fan et al, 2020). This technique is a non-parametric method for performance analysis of DMUs based on their efficiency frontier and production possibility set (PPS) (Zarei Mahmoudabadi et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Balanced performance assessment under uncertainty: an integrated CSW-DEA and balanced scorecard (BSC)

Mahmoudabadi

Emrouznejad

2022

Ann Oper Res

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Data Envelopment Analysis (DEA) is a mathematical programming model that calculates the relative efficiency of homogenous Decision Making Units (DMUs). The conventional DEA models used to calculate the efficiency require the exact amount of inputs and outputs; in real business situations, however, it is often impossible to determine the exact numeral value of some inputs and outputs. At the same time the Common Set of Weights (CSW) overcomes the weakness of DEA models for assessment under same conditions. On the other hands, it is important to considering the balance in evaluation and calculation of indicators. This study develops a new model to calculate the CSW in fuzzy environments, considering the balanced environment using the Balanced Scorecard (BSC). Our proposed model is linear for fairly and equitably evaluating the DMUs on the same scale, also enables us to deal with fuzzy environment and greatly reduces the computational complexities for enormous volumes of data in many real applications and treat difficulties in fuzzy DEA models. From a managerial point of view, this paper aims to provide an integrated framework to form a better strategic decision-making process about organization performance, which ultimately leads to the competitive advantages and success of the organization in the long run. Finally, in the field of performance management, the proposed model was applied to evaluate the performances of ten manufacturing enterprises in to confirm the validity and applicability of the proposed approach.

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An Improvement of DEA Cross-Efficiency Aggregation Based on BWM-TOPSIS

Cited by 13 publications

References 40 publications

Safety Assessment of Transport Aircraft Heavy Equipment Airdrop: An Improved STPA-BN Mechanism

Safety Assessment of Transport Aircraft Heavy Equipment Airdrop: An Improved STPA-BN Mechanism

BWM—RAPS Approach for Evaluating and Ranking Banking Sector Companies Based on Their Financial Indicators in the Saudi Stock Market

Balanced performance assessment under uncertainty: an integrated CSW-DEA and balanced scorecard (BSC)

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