Reconfigurability Evaluation of Multifunctional Intelligent Boom Sprayer Based on Fuzzy Comprehensive Evaluation

Abstract

Multifunctional intelligent boom sprayer is a development direction of boom sprayers, and it could satisfy needs of precision and variable spraying and achieve aims of sustainable development of pesticide spraying, ecological protection, and efficient plant protection by reconfiguring its structures. Therefore, the evaluation of multifunctional intelligent boom sprayer reconfigurability has a role in improving product reconfigurability while reducing product function redundancy and production costs and reducing product function redundancy and production cost. In order to comprehensively evaluate the reconfigurability of a multifunctional intelligent boom sprayer, this paper established an evaluation index system and realized the evaluation process by using fuzzy comprehensive evaluation, analytic hierarchy process, and validity test. The evaluation result would avail to directly and effectively guide product optimization and upgrade process in accordance with quantitatively analyzed evaluation indexes of intelligent boom sprayer reconfigurability by using mathematical methods such as analytic hierarchy process and validity test in evaluation process. The index system was formed from six components, which were key design information, quality, cost, efficiency, intelligence, and operational capability. Index weights were calculated by the analytic hierarchy process. Finally, a multifunctional shiftable boom intelligent sprayer was evaluated for product reconfigurability improvements by using the evaluation method. Reconfigurability evaluation result of the multifunctional shiftable boom intelligent sprayer belonged to "good" evaluation interval by the calculation of formulas. There was further room to improve product reconfigurability, as the membership degree in the “good” evaluation interval was below 0.5. The study could provide a scientific basis for improving the reconfigurability, technical performance, and operation quality of products in intelligent boom sprayer design. In addition, it may be possible to decrease the arbitrary nature of subjective design factors and support economic and ecological goals when businesses upgrade products.

Mask Design for Life in the Midst of COVID-19

“…The membership function in fuzzy mathematics can be used to quantify qualitative evaluations [41]. FCE is widely used in engineering, design and development, development planning, and other fields of design evaluation to solve evaluation problems with fuzzy and complex attributes [42][43][44]. Therefore, FCE was used to calculate and obtain a comprehensive evaluation result of mask design.…”

Construction and application of an applicability evaluation system for garlic planters based on fuzzy comprehensive evaluation

“…The average random consistency index RI is introduced to participate in the evaluation of the CI [ 19 ], and is referred from Table 2 .…”

“…Under specific circumstances, it is usually determined whether or not the assessment procedure is legitimate by using the maximum membership validity test method, as indicated in the equation below [ 19 ]. where α is the validation results, n e is the element number of E ; β is the maximum membership degree in the membership vector R Z corresponding to the applicability evaluation index ( Z ); and γ is the secondary maximum membership degree.…”

“…In the research field of agricultural engineering, Ma et al [ 19 ] used the method of fuzzy comprehensive evaluation to evaluate the reconfigurability of intelligent boom sprayers from the aspects of key design information, quality, cost, benefit, intelligence, and operation ability. Gong et al [ 20 ] used the fuzzy comprehensive evaluation method to conduct a comprehensive evaluation of the applicability of plant protection machinery, and proposed that three indicators including technology, economy and working conditions could achieve a comprehensive evaluation of the applicability of plant protection machinery.…”

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“…ird, this study also contributes to the literature on the FCE method. e FCE method combines the fuzzy sets with the evaluation and converts the qualitative evaluation into a quantitative evaluation according to the membership theory of fuzzy mathematics [39,40]. In recent years, the FCE method is widely used in the field of economics and finance [41].…”