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Performance evaluation of public transport sector with missing data

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dc.contributor.author Agarwal, Shivi
dc.contributor.author Mathur, Trilok
dc.date.accessioned 2025-02-14T05:02:43Z
dc.date.available 2025-02-14T05:02:43Z
dc.date.issued 2024-07
dc.identifier.uri https://link.springer.com/chapter/10.1007/978-981-97-3292-0_58
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17708
dc.description.abstract Efficiency analysis is vital for decision-making in service sectors such as public transport and public health, aiding policy formulation and understanding competition. This study focuses on evaluating the efficiency of India's public transport sector, particularly State Road Transport Undertakings (SRTUs), utilizing Data Envelopment Analysis (DEA). However, a key challenge in real-life efficiency analysis is the unavailability or absence of certain data points. To address this issue, the study proposes the integration of DEA models and fuzzy numbers. By incorporating non-symmetrical fuzzy data, the study measures the efficiency of SRTUs and provides a ranking based on fuzzy efficiency. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Mathematics en_US
dc.subject State road transport undertakings en_US
dc.subject Fuzzy numbers en_US
dc.subject Public health en_US
dc.title Performance evaluation of public transport sector with missing data en_US
dc.type Article en_US


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