Rough Data Envelopment Analysis: An Application to Indian Agriculture

Alka Arya, Adel Hatami-Marbini, Pegah Khoshnevis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In an uncertain world, nothing is definite. Measuring a person’s effectiveness in such a volatile world is inevitable. For a traditional data envelopment analysis (DEA) approach for precisely evaluating the relative efficacy of homogenous decision-making units (DMUs), precise input and output quantity data are required. However, it’s possible that precise knowledge of the data won’t be available in many real-world applications. This kind of situation can be handled using rough set theory. In order to quantify uncertainty, this work attempts to build a rough DEA model by merging traditional DEA with rough set theory with optimistic and pessimistic confidence levels of rough variables. In the proposed method, a unified production frontier is created for all DMUs using the same set of restrictions, allowing one to precisely evaluates each DMU’s efficiency in the presence of rough data. Additionally, a ranking system based on the approaches put out is offered. The paper examines the effectiveness of the Indian fertiliser supply chain for over a decade in the face of uncertain circumstances. The results of the suggested models are contrasted with those of the current DEA models to show how policymakers might improve the performance of the Indian fertiliser industry’ supply chains. (An earlier version of this study was published in Arya, A., & Hatami-Marbini, A. (2023). A new efficiency evaluation approach with rough data: An application to Indian fertilizer. Journal of Industrial and Management Optimization, 19(7), 5183–5208).

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems
Subtitle of host publicationIntelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 1
EditorsCengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Selcuk Cebi, Sezi Cevik Onar, A. Çağrı Tolga
PublisherSpringer, Cham
Number of pages8
ISBN (Electronic)9783031397745
ISBN (Print)9783031397738
Publication statusPublished - 17 Aug 2023
Event5th International Conference on Intelligent and Fuzzy Systems - Istanbul Technical University, Istanbul, Turkey
Duration: 22 Aug 202324 Aug 2023
Conference number: 5

Publication series

NameLecture Notes in Networks and Systems
Volume758 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


Conference5th International Conference on Intelligent and Fuzzy Systems
Abbreviated titleINFUS 2023
Internet address

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