A multicriteria approach for biomass availability assessment and selection for energy production in Burkina Faso: A hybrid AHP-TOPSIS approach

Zoma, Fernand; Sawadogo, Marie

doi:10.1016/j.heliyon.2023.e20999

Cited by 6 publications

(3 citation statements)

References 39 publications

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“…Along with the main parameters, the sub-parameters have also shown similar results (Tables 5 , 6 , 7 , and 8 ). The eigenvalues thus confirmed the stability of decision-makers preference throughout the investigation 29 , 32 – 34 . TOPSIS determines the ranking of the [assessment]alternatives by calculating the difference between ideal and negative ideal solutions.…”

Section: Resultssupporting

confidence: 63%

“…However, Li et al 38 noted that a relatively large sample size is necessary when employing the fuzzy evaluation method for sustainability assessment. Considering existence of all these opinions, we employed AHP for determining the weights assigned to the criteria in our study, since previous research (Zoma and Sawadogo 34 , Adhikari et al 39 and Abdulvahitoglu and Kilic 40 ) endorsed such use. Subsequently, we applied these criteria weights to TOPSIS to rank the alternatives; and it (TOPSIS) demonstrated that zero tillage outperformed conventional and reduced tillage (Table 9 ), using ratings based on relative closeness to the ideal solution (C k ).…”

Section: Resultsmentioning

confidence: 99%

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Evaluation of management practices in rice–wheat cropping system using multicriteria decision-making methods in conservation agriculture

Biswas,

Majumder,

Dey

et al. 2024

Sci Rep

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In this study, we employed two multiple criteria decision-making (MCDM) methods, namely the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytic Hierarchic Process (AHP), to determine the best management choice for the cultivation of wheat with a regime of conservation agriculture (CA) practices. By combining alternative tillage approaches, such as reduced tillage and zero tillage, with the quantity of crop residues and fertilizer application, we were able to develop the regime of CA practices. The performance of the regimes compared to the conventional ones was then evaluated using conflicting parameters relating to energy use, economics, agronomy, plant protection, and soil science. TOPSIS assigned a grade to each alternative based on how close it was to the ideal solution and how far away it was from the negative ideal solution. However, employing AHP, we determined the weights of each of the main and sub-parameters used for this study using pairwise comparison. With TOPSIS, we found ZERO1 (0% residue + 100% NPK) followed by ZERO4 (50%residue + 100% NPK), and ZERO2 (100% residue + 50% NPK) were the best performing tillage-based alternatives. To best optimize the performance of wheat crops under various CA regimes, TOPSIS assisted the decision-makers in distinguishing the effects of the parameters on the outcome and identifying the potential for maneuvering the weak links. The outcomes of this investigation could be used to improve management techniques for wheat production with CA practices for upscaling among the farmers.

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Section: Resultssupporting

confidence: 63%

Section: Resultsmentioning

confidence: 99%

Evaluation of management practices in rice–wheat cropping system using multicriteria decision-making methods in conservation agriculture

Biswas,

Majumder,

Dey

et al. 2024

Sci Rep

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show abstract

“…2. ELECTRE-TOPSIS: Combines the ELECTRE method for ranking alternatives based on outranking relationships with the TOPSIS method for identifying the ideal and anti-ideal solutions (Ronyastra et al, 2023;Zoma & Sawadogo, 2023).…”

mentioning

confidence: 99%

The Potential of AHP-TOPSIS and Fuzzy-TOPSIS Hybrid MCDM Techniques for Evaluation of Mature Landfill Leachate Treatment Technologies

Nath,

Debnath

2024

Preprint

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Leachate is a noxious liquid with a high concentration of organic and inorganic substances produced by interactions of several environmental factors in a landfill. It is quite toxic to groundwater, surface water, and the environment; thus, it must be treated thoroughly before disposal. There are a few traditional and advanced technologies that exist for the treatment of landfill leachate, which are broadly categorized as biological, physicochemical, and hybrid technologies. According to the literature, every technology has pros and cons, and no single treatment method is sufficient to provide the required efficiency. Thus, selecting the optimal methodology for landfill leachate treatment requires a multi-criteria decision-making (MCDM) approach that incorporates several criteria and alternatives. In the research, integrated AHP-TOPSIS and integrated Fuzzy-TOPSIS approaches were employed to evaluate their potential to rank the available treatment options and to determine the optimal treatment strategy for optimal treatment of leachate. In this decision-making process, ten criteria (the removal efficiency of chemical oxygen demand (COD), biochemical oxygen demand (BOD), ammonia nitrogen, and heavy metals, operation and maintenance cost, installation time, treatment time, environmental effect, simplicity of operation and maintenance, and treatment plant flexibility with dependability) were considered. The weights of the considered criteria were determined using the AHP and Fuzzy techniques. A combination of two biological techniques, a combination of physical and biological methods, and an integration of the physicochemical method with biological methods were included among the considered alternatives (treatment approaches). The alternatives were prioritised with the help of integrated decision-making processes from a total of fifteen different treatment options. The findings indicate that membrane biological reactor (MBR) (A8), advanced oxidation process (AOPs) + MBR (A10), and coagulation-flocculation (A13) and up-flow anaerobic sludge blanket reactor (UASB) + Membrane filtration (MF) (A1) (A8>A10>A13>A1) are the first four treatment approaches as determined by only AHP, integrated AHP-TOPSIS, and Fuzzy-TOPSIS methodology. The calculated results indicate that the hybrid methods are better suited than conventional treatment approaches for toxic landfill leachate treatment.

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Barriers to sustainable biowaste-to-energy solutions: an analytical hierarchy process-based method analysis

Yadav,

Pal,

Singh

et al. 2024

Biomass Conv. Bioref.

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A multicriteria approach for biomass availability assessment and selection for energy production in Burkina Faso: A hybrid AHP-TOPSIS approach

Cited by 6 publications

References 39 publications

Evaluation of management practices in rice–wheat cropping system using multicriteria decision-making methods in conservation agriculture

Evaluation of management practices in rice–wheat cropping system using multicriteria decision-making methods in conservation agriculture

The Potential of AHP-TOPSIS and Fuzzy-TOPSIS Hybrid MCDM Techniques for Evaluation of Mature Landfill Leachate Treatment Technologies

Barriers to sustainable biowaste-to-energy solutions: an analytical hierarchy process-based method analysis

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