An analysis on generic barriers to bioenergy technologies adoption in context of rural India

Yadav, Priyanka; Yadav, Suman; Singh, D. P.; Giri, Balendu Shekher

doi:10.1016/j.biteb.2021.100671

Cited by 5 publications

(1 citation statement)

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“…The analytical hierarchy Process (AHP) is one of the MCDM tools widely used for rational decision-making in renewable energy planning, water resource management, and other areas [28,29]. AHP is widely accepted because it provides a way to transform complex problems into hierarchical structures [30].…”

Section: F-ahpmentioning

confidence: 99%

An Integrated Decision Support System for Low-Disturbance Surface Mining

Tao,

Zhang

2024

Applied Sciences

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Low-disturbance mining in surface mining (LDM) can transform traditional surface mine production systems into a more sustainable model by reducing the disturbance of surface mining, minimizing pollutant emissions, and reducing ecological impacts. The purpose of this paper is to explore the LDM evaluation method by applying multi-criteria decision-making to provide technical support for LDM implementation. Therefore, an evaluation method based on the combination of the fuzzy analytical hierarchy process (F-AHP) and grey clustering was proposed. Analyzed in terms of the current status of the evaluation indicators (reality) and the significance of the development of the LDM (desirability). Determined the weights and low-disturbance (LD) levels of the evaluation indicators. Combined with the fuzzy technique for order preference by similarity to an ideal solution (F-TOPSIS), the low-disturbance open pit mining paths are ranked, and finally, the decision support system for low-disturbance mining in surface mining is constructed. This study not only enriches the existing literature on related technologies but also lays the foundation for further research on LDM and provides exploratory insights for deeper improvement of LD level in surface mining.

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Section: F-ahpmentioning

confidence: 99%