Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants

Bimal Shil; Prasenjit Sinha; Suman Das; Binod Chandra Tripathy; Prasanna Poojary

doi:10.1007/s41660-023-00319-w

Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants

Bimal Shil
, Prasenjit Sinha
, Suman Das
, Binod Chandra Tripathy
, Prasanna Poojary^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

This paper aims to establish the notion of Hamming distance under the possible environment and propose a multi-attribute decision-making (MADM) strategy based on grey relational analysis (GRA) under the Possibility environment. This study identified the most critical parameter or factors affected by climate change, urbanization, and machine failures. Furthermore, we validate the proposed MADM strategy by solving a real-world numerical example, namely, “identification of the most important parameters affecting climate change and the impact of urbanization on hydropower plants.”.

Original language	English
Pages (from-to)	599-608
Number of pages	10
Journal	Process Integration and Optimization for Sustainability
Volume	7
Issue number	3
DOIs	https://doi.org/10.1007/s41660-023-00319-w
Publication status	Published - 05-2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
General Chemical Engineering
Waste Management and Disposal
Pollution
Management, Monitoring, Policy and Law

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10.1007/s41660-023-00319-w

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Shil, B., Sinha, P., Das, S., Tripathy, B. C., & Poojary, P. (2023). Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants. Process Integration and Optimization for Sustainability, 7(3), 599-608. https://doi.org/10.1007/s41660-023-00319-w

Shil, Bimal ; Sinha, Prasenjit ; Das, Suman et al. / Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants. In: Process Integration and Optimization for Sustainability. 2023 ; Vol. 7, No. 3. pp. 599-608.

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title = "Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants",

abstract = "This paper aims to establish the notion of Hamming distance under the possible environment and propose a multi-attribute decision-making (MADM) strategy based on grey relational analysis (GRA) under the Possibility environment. This study identified the most critical parameter or factors affected by climate change, urbanization, and machine failures. Furthermore, we validate the proposed MADM strategy by solving a real-world numerical example, namely, “identification of the most important parameters affecting climate change and the impact of urbanization on hydropower plants.”.",

author = "Bimal Shil and Prasenjit Sinha and Suman Das and Tripathy, \{Binod Chandra\} and Prasanna Poojary",

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Shil, B, Sinha, P, Das, S, Tripathy, BC & Poojary, P 2023, 'Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants', Process Integration and Optimization for Sustainability, vol. 7, no. 3, pp. 599-608. https://doi.org/10.1007/s41660-023-00319-w

Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants. / Shil, Bimal; Sinha, Prasenjit; Das, Suman et al.
In: Process Integration and Optimization for Sustainability, Vol. 7, No. 3, 05.2023, p. 599-608.

Research output: Contribution to journal › Article › peer-review

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AU - Shil, Bimal

AU - Sinha, Prasenjit

AU - Das, Suman

AU - Tripathy, Binod Chandra

AU - Poojary, Prasanna

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AB - This paper aims to establish the notion of Hamming distance under the possible environment and propose a multi-attribute decision-making (MADM) strategy based on grey relational analysis (GRA) under the Possibility environment. This study identified the most critical parameter or factors affected by climate change, urbanization, and machine failures. Furthermore, we validate the proposed MADM strategy by solving a real-world numerical example, namely, “identification of the most important parameters affecting climate change and the impact of urbanization on hydropower plants.”.

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DO - 10.1007/s41660-023-00319-w

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Shil B, Sinha P, Das S, Tripathy BC, Poojary P. Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants. Process Integration and Optimization for Sustainability. 2023 May;7(3):599-608. doi: 10.1007/s41660-023-00319-w

Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

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