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Open Access Research Article Issue
Practical teaching method innovation decisions related to labor and reading at agricultural colleges based on entropy-fuzzy AHP combination weights
AIMS Mathematics 2023, 8(4): 7641-7661
Published: 15 April 2023
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Due to the rapid development of the economy, science, and technology, we have noticed a trend where less and less attention is being paid to the modernization and development of labor and reading concerning agricultural teaching methods. Using the entropy weight method and the analytic hierarchy process, this paper empirically evaluates the practical aspects of interdisciplinary farming at agricultural colleges. In addition, it analyzes problems with current practical teaching methods from the perspectives of curriculum materials, practical education, educational platforms, and teachers. We also put forward corresponding ideas and suggestions for practical teaching methods related to interdisciplinary farming. The results show the following: ⅰ) A student's sense of responsibility to develop agriculture should be cultivated by integrating the cultural elements of agriculture with science curricula. ⅱ) Faculties with knowledge of interdisciplinary practices should be set up to improve students' abilities regarding practical activities. ⅲ) A practical teaching platform should be established to provide conditions for interdisciplinary integration. ⅳ) The previous conclusion requires schools to cultivate high-level teachers to maximize their leading role; only in this way can the process of agricultural education be comprehensively promoted. In this paper, by studying practical farming teaching methods at agricultural colleges and universities, we found that farming culture can be enhanced by educational culture. The cultivation of agricultural talents in the new era can be aided by helping students understand and appreciate agriculture, and by disseminating farming culture, agricultural talent can be cultivated among these students. Furthermore, this study focuses on cultivating excellent talent in terms of technical agriculture and rural management, thus combining theory and practice, which will promote the spirit of labor among students, as well as professional quality. This will ensure the constant innovation of agricultural and nonagricultural professional services for agriculture, rural areas, and farmers.

Open Access Article Issue
Agricultural land selection by using multicriteria group decision-making based on rough intuitionistic Fuzzy frank power operations
Fuzzy Information and Engineering 2026, 18(1): 121-148
Published: 09 May 2026
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The agricultural industry plays a vital role in the progress of any agrarian country. So, the utilization of land is a challenging task for agricultural engineers. It is challenging for agrarian engineers to determine the suitability of different land types for various crops. In this critical situation, the multicriteria group decision-making (MCGDM) technique plays a significant role in decision-making (DM). For the solution of these problems, by using intuitionistic fuzzy rough (IFR) set (IFRS) theory, Frank operation, along with power aggregation operators (PAOs), analyzed a new family of aggregation operators (AOs) called IFR Frank power weighted averaging (IFRFPWA), IFR frank power ordered weighted averaging (IFRFPOWA), IFR frank power ordered hybrid averaging (IFRFPHWA), IFR frank power weighted geometric (IFRFPWG), IFR frank power ordered weighted geometric (IFRFPOWG), IFR frank power ordered hybrid geometric (IFRFPHWG) operators. Also, some necessary axioms are known as boundedness, monotonicity, and idempotency. To highlight the significance of the diagnosis approach, illustrate a detailed real-life numerical problem. To check the applicability of the proposed work, compare it with other existing AOs, and discuss the sensitivity analysis of the proposed model. At the end, provide solid conclusions and explain the limitations of the proposed model and future direction.

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