Miroslav Nedeljković, Adis Puška, Marko Jeločnik, Dragan Pamučar, Jonel Subić
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In line with the main goal of the research support in the decision-making process, i.e. ranking the observed plum varieties is done according to the selected multi-criteria method, in this case, fuzzy DNARAS multi-criteria decision-making method (Double Normalization Fuzzy Additive Ratio Assessment). Previous assessments of observed plum varieties towards the predefined sets of criteria are done by engaged national experts focused on fruit growing. Derived research results show that the plum variety Sissy could perfectly fit the WBs fruit production sector, while the variety Superior possess the lowest growing potential among the assessed plum varieties. Research originality lies in the fact that assessment and ranking of selected plum varieties have been done with the fuzzy DNARAS multi-criteria decision-making method, a method that shows a higher level of stability compared to other similar methods. 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引用次数: 0
摘要
在全球范围内,李子是种植和消费最多的水果品种之一。考虑到中国是李子生产的领导者,有意向将中国通常种植的李子品种引入西巴尔干地区。预计这一行动将引发知识和技术转让,并提高已达到的盈利能力。现有的7个李子品种(Superior, Skoroplodnaya, Eagle Dream, Sissy, Manchu Beauty, Golden ball和Red ball)对西巴尔干生产和市场条件的适用性由专家根据预定义的(次)标准(经济和技术)评估提供的替代品进行分析。在决策过程中,根据研究支持的主要目标,即根据选择的多准则方法对观测李子品种进行排序,本案例中采用模糊DNARAS多准则决策方法(Double Normalization fuzzy Additive Ratio Assessment)。以前对观察到的李子品种按照预先确定的标准进行的评估是由从事水果种植的国家专家完成的。结果表明,青梅品种Sissy最适合WBs水果生产部门,而青梅品种Superior的生长潜力最低。研究的独创性在于采用模糊DNARAS多准则决策方法对所选李子品种进行评价和排序,与其他同类方法相比,该方法具有更高的稳定性。在专家意见的指导下进行准试验,同时提出适宜生长替代的李树品种,是大田引种标志品种多年试验的初级阶段。
Economic and Technical Assessment of the Chinese Plum Varieties Using Multi-Criteria Analysis Methods
Globally, plums are among the most grown and consumed fruit species. Considering China as the leader in plum production, there are intentions to introduce the usually grown plum varieties in China into the area of Western Balkan (WB). It is expected that this action will trigger knowledge and technological transfer, as well as improvement in reached profitability. The suitability of available seven plum varieties (Superior, Skoroplodnaya, Eagle Dream, Sissy, Manchu Beauty, Golden ball and Red ball) to production and market conditions of Western Balkan are analysed by experts’ assessment of offered alternatives according to predefined sets of (sub)criteria (economic and technological). In line with the main goal of the research support in the decision-making process, i.e. ranking the observed plum varieties is done according to the selected multi-criteria method, in this case, fuzzy DNARAS multi-criteria decision-making method (Double Normalization Fuzzy Additive Ratio Assessment). Previous assessments of observed plum varieties towards the predefined sets of criteria are done by engaged national experts focused on fruit growing. Derived research results show that the plum variety Sissy could perfectly fit the WBs fruit production sector, while the variety Superior possess the lowest growing potential among the assessed plum varieties. Research originality lies in the fact that assessment and ranking of selected plum varieties have been done with the fuzzy DNARAS multi-criteria decision-making method, a method that shows a higher level of stability compared to other similar methods. Performing the quasi-experiment under the expert’s opinions and suggesting the plum varieties that could correspond to adequate growing alternatives simultaneously represents the initial stage in multi-year field experiments linked to the introduction of marked varieties into the WBs.
期刊介绍:
The main objective of this initiative is to promote agricultural research and development. The journal will publish high quality original research papers and critical reviews on emerging fields and concepts for providing future directions. The publications will include both applied and basic research covering the following disciplines of agricultural sciences: Genetic resources, genetics and breeding, biotechnology, physiology, biochemistry, management of biotic and abiotic stresses, and nutrition of field crops, horticultural crops, livestock and fishes; agricultural meteorology, environmental sciences, forestry and agro forestry, agronomy, soils and soil management, microbiology, water management, agricultural engineering and technology, agricultural policy, agricultural economics, food nutrition, agricultural statistics, and extension research; impact of climate change and the emerging technologies on agriculture, and the role of agricultural research and innovation for development.