Application of fuzzy analytic hierarchy process to select the optimal heating facility for Korean horticulture and stockbreeding sectors

Cho, Sangmin; Kim, Jinsoo; Heo, Eunnyeong

doi:10.1016/j.rser.2015.04.105

Cited by 20 publications

(6 citation statements)

References 36 publications

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“…One of the semi-quantitative methods that won't to determine land suitability for surface irrigation is named AHP. AHP may be a structured tool that helps to research di cult decisions supported mathematics and psychology (Cho et al 2015;Nguyen et al 2015;Saaty 2000). during this study, a pairwise comparison matrix was conducted using excel to supply weights for every parameter or criteria considering Saaty's ranking scale (Luu et al 2018;Saaty 2008).…”

Section: Analytical Hierarchy Process (Ahp) and Pairwise Comparison Matrixmentioning

confidence: 99%

GIS-based Land Suitability Analysis for Surface Irrigation Using Analytical Hierarchy Process Method in East and West Bellessa, Northwestern Ethiopia

Wubalem¹

2021

Preprint

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Bellessa is found in central Gondar, which is affected frequently by drought thanks to spatial and temporal failure of rainfall. Therefore, the agriculture in this area has to be supported by surface irrigation. For this, land suitability analysis for surface irrigation is extremely important to scale back food security problem. GIS-based land suitability analysis was conducted using analytical hierarchy process methods. Eight factors like slope, elevation, distance to water source, land use, soil texture, type, depth, and drainage are considered and therefore the weight of every parameter was estimated using 8x8 pairwise comparison matrix. After all, final land suitability map was generated using weighted overlay method under GIS tool. the ultimate map was classified into four land suitable classes using natural break classification method as highly suitable (S1), moderately suitable (S2), marginally suitable (S3), and not suitable class (S4). The result showed that highly suitable, moderately suitable, marginally suitable and not suitable class are covered 13.9%, 46.9%, 26.9%, and 12.2% of the whole area, respectively. This study finding will features a vital role in conducting surface irrigation considering the input parameters and therefore the final demarcated suitable land classes.

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Section: Analytical Hierarchy Process (Ahp) and Pairwise Comparison Matrixmentioning

confidence: 99%

GIS-based Land Suitability Analysis for Surface Irrigation Using Analytical Hierarchy Process Method in East and West Bellessa, Northwestern Ethiopia

Wubalem¹

2021

Preprint

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“…The AHP is one of the qualitative methods used to determine the relationship between flood factor class and flood occurrence. The AHP method is a structured tool that is used to analyze difficult decisions based on the mathematics and psychology (Cho et al, 2015;Nguyen et al, 2015;Saaty, 2000;Zhang et al, 2016). To produce weighting factors, the pairwise comparison method was used by considered Saaty's ranking scale (Luu et al, 2018;Saaty, 2008).…”

Section: Analytical Hierarchy Process (Ahp)mentioning

confidence: 99%

Comparison of statistical and analytical hierarchy process methods on flood susceptibility mapping: in a case study of Tana sub-basin in northwestern Ethiopia

Wubalem

Tesfaw

Zerihun

et al. 2020

Preprint

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Abstract. The sub-basin of Lake Tana is one of the most flood-prone areas in northwestern Ethiopia, which is affected by flood hazards. Flood susceptibility modeling in this area is essential for hazard reduction purposes. For this, the analytical hierarchy process (AHP), bivariate, and multivariate statistical methods were used. Using an intensive field survey, historical record, and Google Earth Imagery, 1404 flood locations were determined which are classified into 70 % training datasets and 30 % testing flood datasets using subset in the GIS tool. The statistical relationship between the probability of flood occurrence and eleven flood-driving factors is performed using the GIS tool. Then, the flood susceptibility map of the area is developed by summing all weighted factors using a raster calculator and classified into very low, low, moderate, high, and very high susceptibility classes using the natural breaks method. The results for the area under the curve (AUC) are 99.1 % for the frequency ratio model is better than 86.9 % using AHP, 81.4 % using the logistic regression model, and 78.2 % using the information value model. Based on the AUC values, the frequency ratio (FR) model is relatively better followed by the AHP model for regional flood use planning, flood hazard mitigation, and prevention purposes.

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“…In order to assign the weights of indicators, as group judgments are more valid than individual judgments, decisions from a structured group of individuals on the weights of indicators will be more accurate [36]. To have a scientific result, according to the widely-used Delphi method and the analytic hierarchy process (AHP) method in multiple criteria decision making, a group of experts were invited for deciding the weights of each indicator [37][38][39]. In this study, ten experts in eight related fields participated, including four researchers, a CEO, an investor, and two senior government officials (see Table 2).…”

Section: Weighting Indicatorsmentioning

confidence: 99%

Analysis of the Relative Sustainability of Land Devoted to Bioenergy: Comparing Land-Use Alternatives in China

Huang

et al. 2017

Sustainability

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When developing land to meet various human needs, conducting assessments of different alternatives regarding their sustainability is critical. Among different alternatives of land-use, devoting land to bioenergy is relatively novel, in high demand, and important for addressing the energy crisis and mitigating carbon emissions. Furthermore, the competition and disputes among limited land-use for bioenergy and the combination of food production and housing are tense. Thus, which alternative of land-use is more sustainable is an important question, yet it is still under-investigated. The main purposes of this study are to investigate the merits and problems of land-use for bioenergy and to compare the relative sustainability of land-use for bioenergy, food production, and housing based on habitants' perceptions. Multi-criteria analysis is applied to the case study in the context of China, evaluating multiple criteria in economic, environmental, and social dimensions. Therefore, this study presents a comprehensive assessment of different scenarios of land-use designed to be implemented and some implications for optimum land-use policies.

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Application of fuzzy analytic hierarchy process to select the optimal heating facility for Korean horticulture and stockbreeding sectors

Cited by 20 publications

References 36 publications

GIS-based Land Suitability Analysis for Surface Irrigation Using Analytical Hierarchy Process Method in East and West Bellessa, Northwestern Ethiopia

GIS-based Land Suitability Analysis for Surface Irrigation Using Analytical Hierarchy Process Method in East and West Bellessa, Northwestern Ethiopia

Comparison of statistical and analytical hierarchy process methods on flood susceptibility mapping: in a case study of Tana sub-basin in northwestern Ethiopia

Analysis of the Relative Sustainability of Land Devoted to Bioenergy: Comparing Land-Use Alternatives in China

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