Agriculture 4.0 is the usage of advanced technologies for ensuring sustainability and efficient use of resources in agriculture, which can be accepted one of the biggest challenges of mankind. With Agriculture 4.0 technologies, it is aimed to raise productivity, reduce waste and costs. To ensure that agriculture 4.0 technologies are adopted by farmers as soon as possible, the perspective and perception of farmers to these technologies should be analyzed firstly. For this purpose, we propose a decision-making framework to measure farmers' view of Agriculture 4.0 technologies and to perform a prioritization study based on the perception of use among these technologies. Multicriteria decision analysis is also utilized to deal with all qualitative and quantitative factors in the decision process. Within the scope of this study, interval-valued spherical fuzzy numbers are used to model the vagueness in the process in the best manner and to be able to reflect the uncertainty arising from the usage of linguistic variables in the decision process. The SWARA and MAIRCA multicriteria decision making (MCDM) methods, which have been used frequently in the literature and are applied very successfully in MCDM problems, have been firstly extended by spherical fuzzy sets (SFSs) and the advantages for these methods have been utilized within the framework of fuzzy logic. The proposed method allows decision-makers to mirror their hesitations in decision-making using a linguistic evaluation scale established upon interval-valued SFSs. A comparative analysis based on the ordinary fuzzy sets is also performed for the obtained results and the clear superiority of the proposed approach is presented. In addition, the robustness of the model is tested with sensitivity analysis. After these analyzes it is obtained that this paper provides a unique perspective to the literature due to its originality in both the subject and adopted fuzzy methodology.

中文翻译：

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评估农民对农业 4.0 技术的看法：一种新的基于区间值球形模糊集的方法

农业 4.0 是使用先进技术来确保农业资源的可持续性和有效利用，这是人类可以接受的最大挑战之一。借助农业 4.0 技术，它旨在提高生产力、减少浪费和成本。为确保农业4.0技术尽快被农民采用，首先要分析农民对这些技术的看法和认知。为此，我们提出了一个决策框架来衡量农民对农业 4.0 技术的看法，并根据对这些技术使用的看法进行优先排序研究。多准则决策分析也用于处理决策过程中的所有定性和定量因素。在本研究的范围内，区间值球形模糊数用于以最佳方式对过程中的模糊性进行建模，并能够反映决策过程中使用语言变量所产生的不确定性。SWARA 和 MAIRCA 多准则决策 (MCDM) 方法在文献中经常使用并在 MCDM 问题中非常成功地应用，首先由球形模糊集 (SFS) 扩展，并且这些方法的优点已在模糊逻辑的框架。所提出的方法允许决策者使用基于区间值 SFS 建立的语言评估量表来反映他们在决策中的犹豫。还对所得结果进行了基于普通模糊集的比较分析，并展示了所提出方法的明显优越性。此外，模型的稳健性通过敏感性分析进行了测试。在这些分析之后，由于其在主题上的独创性和采用的模糊方法，本文为文献提供了独特的视角。