Selection of Agricultural Machinery Based on Improved CRITIC-Entropy Weight and GRA-TOPSIS Method

Haonan Lu,Xue Zhou,Zikai Wei,Yongman Zhao

doi:10.3390/pr10020266

Abstract

In view of the problems existing in the process of agricultural machinery selection, such as inadequate decision-making information, strong subjectivity and quantification difficulty of the index weight assignment, and accuracy deficiency of the selection results, a model on the selection of agricultural machinery based on the improved CRITIC-entropy weight and GRA-TOPSIS method was established in this study. Through analysis, based on the construction of a comprehensive evaluation index system for the selection of agricultural machinery, the combined weight value was determined by combining the weights obtained using the improved CRITIC method and the weights obtained using the entropy weight method. The grey relational analysis method was also combined with the TOPSIS method. The power machinery combination with 88.2 and 73.5 kW of the 68th Regiment of the Fourth Division of Xinjiang Production and Construction Corps was used as an example for verification to determine the optimal power machinery combination. Results indicated that the ranking results were consistent, and the GRA-TOPSIS method was of the greatest degree of discrimination, which was conducive to the selection and evaluation of agricultural machinery equipment. Moreover, the equipment selection results were determined after the comprehensive ranking of machinery types under the different subjective preferences of decision makers was performed.

Highlights

As the scientific and technological support for the development of modern agriculture, agricultural mechanization is an important symbol of the transformation from traditional agriculture to modern agriculture
In view of the subjectivity of the evaluation indicators in the current methods related to the agricultural machinery selection, according to the basic principles of selection, the paper constructed the evaluation index system from three aspects of economy, technology, and sociality for constructing a set of pre-selected indicators for the agricultural machinery selection, and put forward the agricultural machinery selection model based on the improved CRITIC-entropy method and grey relational analysis (GRA)-TOPSIS method
In order to overcome the dispersion of indicators between the single CRITIC method, the CRITIC method was combined with the entropy method to determine the weight of each indicator combination, and the GRA and TOPSIS method were combined to reasonably rank the alternative models

Summary

Introduction

As the scientific and technological support for the development of modern agriculture, agricultural mechanization is an important symbol of the transformation from traditional agriculture to modern agriculture. The development of agricultural mechanization has an important impact on improving agricultural productivity, and plays a vital role in improving crop yield and farmers’ quality of life [1]. It can be seen that the reasonable selection of agricultural machinery can effectively improve the land productivity, labor productivity, equipment utilization, yield, quality and efficient production of agriculture [3,4]. Users can save costs, increase income, realize the reasonable allocation of resources, and promote the sustainable development of agriculture. These factors are conducive to improving the overall agricultural modernization

Methods

Results

Discussion

Conclusion