印度农业气候区农业可持续性评估:基于单值中性距离测量的混合排名框架

IF 8 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Arunodaya Raj Mishra , Pratibha Rani , Erfan Babaee Tirkolaee , Adel Fahad Alrasheedi , Ahmad M. Alshamrani
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引用次数: 0

摘要

农业部门对气候模式和水供应的依赖性很大,极易受到气候条件波动的影响。然而,由于涉及环境、经济和社会等多个可持续性方面,农业气候区的农业可持续性评估是一个多方面的、不确定的决策问题。为此,本研究在单值中性集的背景下提出了一种混合排序框架,该框架将改进的基于相对接近系数的方法、枢轴成对相对标准重要性评估工具以及加权综合和积方法与单值中性信息相结合。该框架首先提出了一个公式,利用单值中性集合的真成员度、不确定成员度和假成员度来获取决策专家意见的重要性。然后,将决策专家的意见统一起来,确定汇总的单值中性决策矩阵,其中每个元素表示备选方案在所考虑的评价指标方面的单值中性性能等级。此外,通过基于相对接近系数的方法和枢轴配对相对标准重要性评估模型,结合客观和主观权重模型,分别确定指标的权重。为求得指标的相对接近系数,提出了一种新的单值中性距离度量,避免了现有距离度量的不足。最后,提出了一种混合加权综合乘积法对备选方案进行排序。为了证明所引入框架的相关性和有效性,将其应用于印度 10 个农业气候区域的农业可持续性评估案例研究。为此,在文献综述中确认了一些与可持续发展三重底线相关的指标,用于选择印度的可持续农业气候区域。结果表明,在其他农业气候区域中,"跨甘地平原 "区域的偏好度最高,而 "西部干旱区域 "的偏好度最低。与 "西部干旱地区 "相比,灌溉强度、作物多样化、接受汇款以及农业信贷协会会员资格是影响 "跨甘地平原 "地区农业可持续性的指标。最后,通过灵敏度和比较讨论,检验了所提出的排序模型在单值中性集设置下的稳定性和强度。所提出的多标准评价方法为决策者在单值中性信息背景下评价和选择经济、社会和环境可持续发展的农业气候区域提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of agricultural sustainability in agro-climatic regions of India: A single-valued neutrosophic distance measure-based hybrid ranking framework
With the significant dependency on climate patterns and water availability, the agriculture sector is highly prone to fluctuating climate conditions. However, the assessment of agricultural sustainability in agro-climatic regions is a multifaceted and uncertain decision-making problem due to the involvement of multiple sustainability aspects concerning environmental, economic, and social dimensions. To this aim, this work proposes a hybrid ranking framework in the context of single-valued neutrosophic sets, which combines the modified relative closeness coefficient-based approach, the pivot pairwise relative criteria importance assessment tool, and the weighted integrated sum product method with single-valued neutrosophic information. This framework first presents a formula to obtain the significance of decision experts’ opinions using the truth membership, indeterminacy membership, and falsity membership degrees of a single-valued neutrosophic set. Next, the decision experts’ opinions are unified to determine the aggregated single-valued neutrosophic decision matrix, wherein each of its elements denotes the single-valued neutrosophic performance rating of an alternative with respect to considered evaluation indicators. Further, the weights of indicators are determined by combining the objective and subjective weighting models through the relative closeness coefficient-based approach and the pivot pairwise relative criteria importance assessment model, respectively. To find the relative closeness coefficient of indicators, a novel single-valued neutrosophic distance measure is proposed, which evades the deficiencies of existing distance measures. Finally, a hybrid weighted integrated sum product method is presented to rank the alternatives. To demonstrate the relevance and exhibit the efficacy of the introduced framework, it is applied to a case study of agricultural sustainability assessment in 10 considered agro-climatic regions of India. For this purpose, some indicators related to the triple bottom line of sustainability have been recognized from the literature review for the selection of a sustainable agro-climate region in India. The outcomes demonstrate that the “Trans-Gangetic Plain” region has the maximum preference, while the “Western Dry Region” has the least preference among the other agro-climatic regions. Irrigation intensity, crop diversification, receiving remittance as well as membership in the agricultural credit society are influencing indicators responsible for agricultural sustainability in the “Trans-Gangetic Plain” region compared with the “Western Dry Region”. Lastly, sensitivity and comparative discussions are shown to test the stability and strength of the proposed ranking model under the setting of single-valued neutrosophic sets. The proposed multi-criteria evaluation method provides insights for policymakers in evaluating and selecting economically, socially, and environmentally sustainable agro-climatic regions under the context of single-valued neutrosophic information.
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来源期刊
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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