Personal subjectivity impact reduction in choice of sour cherry varieties for orchard establishment using fuzzy system

Paunović, Marija; Milutinović, Olivera; Puzić, Goran

doi:10.5937/ekopolj1802545p

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…Paunović et al [28] used the FIS (fuzzy inference system) to select cherry varieties for raising orchards. Berk et al [29] focused on fuzzy logic to determine the doses of apple preservatives in orchards.…”

Section: Literature Reviewmentioning

confidence: 99%

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

et al. 2022

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Bosnia and Herzegovina (abbreviated BiH) has great potential for fruit production. BiH has over 1.5 million hectares of agricultural land. In addition, there are excellent climatic conditions for growing fruit. However, although there is a long tradition of fruit production in BiH, this production must be improved. This paper provides guidance on making decisions in fruit growing when there are multiple criteria. All criteria are divided into two groups: economic and technical criteria. The economic criteria are further divided into three subcriteria, namely: marketing costs, orchard construction costs and processing and transport costs. Technical criteria are divided into four subcriteria, namely: fruit, variety resistance, production characteristics and processing and transport. According to these, a multicriteria decision-making model based on linguistic values was created. In order to take advantage of these values, a fuzzy approach was applied. Using this approach, decision-making process is easier because decision making is tailored to human thinking. For the example of raising a new orchard in the area of Semberija, an evaluation of seven different varieties of pears was performed. This problem is solved by applying the method of multicriteria analysis (MCDA). To solve this research problem, the MABAC (Multi-attributive border approximation area comparison) method was used. Using the fuzzy MABAC method, the obtained results show that the Šampionka variety has the best indicators among observed varieties. In addition, the Konferans variety achieved good results, and these two varieties are the first choice for raising a new orchard of pears. The paper validates the results and performs sensitivity analysis. The contribution of this research is to develop a new model of decision making by using a new methodology that facilitates decision making on variety selection. This model and methodology provide a flexible way of making decisions in fruit growing.

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Section: Literature Reviewmentioning

confidence: 99%

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

et al. 2022

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“…Rozman et al [ 27 ] used the AHP method when evaluating new apple cultivars. Paunović et al [ 28 ] used the Fuzzy Interference System (FIS) to evaluate cherry varieties for orchard raising purposes. Based on a brief review of the literature, it can be concluded that MCDA methods can be used to evaluate different varieties for sowing purposes.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to Food and Agriculture Organization (FAO) data, the area of rapeseed reached 39,579,575 ha, and its production 75,001,457 tons in the world in 2018. The production of this oilseed in the European Union (EU) (28) reached the value of 19,974,567 tons in the same year, which immediately put it behind its largest producer, which is Canada (20,342,600 tons). When it comes to the production of this oilseed in Bosnia and Herzegovina, it can be seen that it is very modest and, according to the same source, it amounted to 26,775 tons in 2018, which is only 0.13% of production in the EU (28) or 0.03% in the world.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

Nedeljković

Puška²,

Doljanica

et al. 2021

PLoS ONE

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Decision making is constantly present in agriculture. Choosing the wrong variety carries the risk that the investment in terms of sowing does not pay off at all. Therefore, it is necessary to choose the variety that gives the best results. In order to achieve this, it is necessary to apply multi-criteria decision-making of available varieties, which is, in this paper, done on the example of hybrid varieties of rapeseed that were created by selection at the Institute of Field and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC (Multi-Attributive Border Approximation area Comparison) method has been used. The results obtained using the novel integrated fuzzy MCDM model showed that the variety A2 – Zorica has the best results, followed by A1 - NS Ras, while the worst results were seen by the variety A5 - Zlatna. These results were confirmed using other five fuzzy MCDM methods. Sensitivity analysis—changing criteria weights showed the worst results in the variety A6 - Jovana, which took last place in the application of 18 scenarios. The presented model and the results of this research will help farmers to solve this decision problem.

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Selection of the Optimal Apple Variety for Raising Orchards Using the Methods of Multi-criteria Analysis

et al. 2022

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Personal subjectivity impact reduction in choice of sour cherry varieties for orchard establishment using fuzzy system

Cited by 3 publications

References 23 publications

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

Multicriteria Model of Support for the Selection of Pear Varieties in Raising Orchards in the Semberija Region (Bosnia and Herzegovina)

Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA – Fuzzy MABAC model

Selection of the Optimal Apple Variety for Raising Orchards Using the Methods of Multi-criteria Analysis

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