Suitable site selection by using full consistency method (FUCOM): a case study for maize cultivation in northwest Turkey

Everest, Timuçin; Savaşkan, Gönül Selin; Or, Aykut; Özcan, Hasan

doi:10.1007/s10668-022-02787-5

Cited by 13 publications

(8 citation statements)

References 73 publications

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“…The FUCOM is a relatively recent methodology for determining the weight coefficients of criteria, notable for its straightforward mathematical framework and minimal procedural steps [31]. Its application has been wide-ranging, covering diverse research fields such as human resources [32], maintenance [33], the video game industry [34], construction machinery selection [35,36], the electric car industry [37], postal traffic [38], healthcare management [39,40], and location problems [41,42], among others. The mathematical formulation of this method is detailed in the following section [31].…”

Section: Fucom Methodsmentioning

confidence: 99%

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Tešić,

Božanić

2023

ATAMS

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In contemporary military contexts, the determination of an optimal course of action (COA) in combat operations emerges as a critical challenge. This study delineates a decision support methodology for military applications, employing sophisticated decision analysis techniques. The initial phase entails the identification of pivotal criteria for assessing and ranking COAs, followed by the assignment of weight coefficients to each criterion via the full consistency method (FUCOM). Subsequently, the Einstein weighted arithmetic average operator (EWAA) was utilized for the aggregation of expert opinions, ensuring a consensual evaluation of these criteria and culminating in the final values of their weight coefficients. The ensuing phase focuses on the selection of an optimal COA, incorporating the grey complex proportional assessment (COPRAS-G) method. This method addresses uncertainties and varying criterion values. Expert ratings were again aggregated using the EWAA operator. The findings from this phase are designed to provide military commanders with precise, data-driven guidance for decision-making. To validate and verify the stability of the proposed model, a series of tests were conducted, including a rank reversal test, sensitivity analysis regarding changes in weight coefficients, and a comparative analysis with alternative methods. These assessments uniformly indicated the model's consistency, stability, and validity as a military decision support tool. Emphasizing a high degree of confidence in COA selection, the methodology advocated herein is applicable to decision-making processes in the planning and execution of military operations. The uniform application of professional terms, consistent with the broader context of this research, ensures clarity and coherence in its presentation. The approach outlined in this study stands as a testament to rigorous analytical methodologies in the realm of military strategic planning, offering a robust framework for decision-making under conditions of uncertainty and complexity.

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Section: Fucom Methodsmentioning

confidence: 99%

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Tešić,

Božanić

2023

ATAMS

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“…Here, ρ R x, x 0ji , X ji is the right-side distance between x and the interval X ji when x achieves the optimal solution at x0ji . The right-side distance is calculated according to Equation (8).…”

Section: Improved Matter-element Model For Early Warningmentioning

confidence: 99%

“…The black soil region in northeast China, one of China's major grain-producing areas, has been negatively affected by long-term overexploitation and utilization, which poses a potential risk to national grain security [5]. The black soil Land 2023, 12, 1005 2 of 17 region of northeast China contributes 10.8% of the nation's overall grain production and is crucial to national ecological security and grain security [6][7][8]. Therefore, ecological security assessments and CLQ warnings in the black soil region are imperative in terms of maintaining grain security and sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China

Liu

Wang

Liu

et al. 2023

Land

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The ecological security of cultivated land critically depends on maintaining the quality of the land under cultivation. For the security of the nation’s grain supply, the evaluation and early warning of cultivated land quality (CLQ) are essential. However, previous studies on the assessment of the ecological safety of CLQ only rigidly standardized the assessment indicators and failed to investigate the positive and negative trends and spatiotemporal driving factors of the indicators. The main objective of this study was to develop a drive–pressure–state–response (DPSR) model to identify the hierarchical structure of indicators, using an improved matter–element model to assess the CLQ in the black soil region of northeastern China from 2001 to 2020. A panel data model was employed to explore the crucial drivers of CLQ warnings. The findings reveal that socioeconomic development has a potential impact on the improvement of CLQ. CLQ is generally in a secure state, with 69.71% of cities with no warnings and only 3.46% and 0.13% of cities under serious and extreme warnings, respectively. Compared with 2001, the CLQ in 2020 effectively improved by socioeconomic development and the conservation and reasonable utilization of arable land. According to the early warning results, the cultivated land in the northern regions was of higher quality than that in the southern regions. Moreover, the CLQ was significantly positively correlated with the agricultural GDP growth rate, grain yield per unit of cultivated land area, annual precipitation, and the habitat quality index, and was significantly negatively correlated with land carrying capacity. The findings of this study can provide a scientific and targeted basis for black soil conservation and utilization.

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“…Rainfall scarcity threatens barley farming to some level although it is not a "maximum limiting factor" on the land suitability of the cereal in the area. Everest et al [46] underlined that future climate adaptation strategies should take into account results of land suitability assessment. Te greatest share of SRS was only "marginally suitable" for wheat (57.6%) and barley (70.2%) farming, and this is slightly similar to the result of a study made in Midlands of Tigray (northern Ethiopia) where the evaluation was made for barley, maize, etc., crops [26].…”

Section: Overall Land Suitability For Wheat and Barley Productionmentioning

confidence: 99%

Land Suitability Analysis for Sustainable Production of Selected Cereals in Southeastern Ethiopia

Alemayehu

2023

Applied and Environmental Soil Science

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This study has evaluated suitability of the Sinana Research Site (SRS) (southeastern Ethiopia) for sustainable wheat and barley production to improve local food security. Physical land evaluation was undertaken using data about ten land characteristics. Matching land characteristics with land use requirements was made, first. Decision on the overall level of suitability of the area for wheat and barley farming was conducted using the “maximum limiting factor” technique. Over two-third (70.2%) of SRS was marginally suitable for barley farming, but 29.8% of the area was “not suitable” for it. Only slightly less than three-fifth (57.6%) of the area was marginally suitable for wheat production, and the rest 42.4% was “not suitable” for it. Deficient N and P supply and soil alkalinity were critical constraints of land suitability for both crops. Thus, integrated application of inorganic and organic fertilizers and rotating leguminous crops with wheat and barley are useful to mitigate deficiency of N and P in the soil. Hence, farms under “marginally” and “not” suitable classes could be improved to moderate (S2) or high (S1) level of suitability for the crops studied. This, in turn, improves yield and food security status of households in the study area.

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Suitable site selection by using full consistency method (FUCOM): a case study for maize cultivation in northwest Turkey

Cited by 13 publications

References 73 publications

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Optimizing Military Decision-Making: Application of the FUCOM– EWAA–COPRAS-G MCDM Model

Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China

Land Suitability Analysis for Sustainable Production of Selected Cereals in Southeastern Ethiopia

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