An integrated probabilistic bipolar fermatean hesitant fuzzy transportation configuration for sustainable management of floral waste with risk assessment

IF 7.2 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Applied Soft Computing Pub Date : 2024-09-07 DOI:10.1016/j.asoc.2024.112215
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Abstract

This paper proposes the probabilistic bipolar fermatean hesitant fuzzy set (PBFHFS) and its triangular version as generalizations of bipolar fuzzy set (BFS) for delineating randomness and imprecision in a single framework. To enhance pragmatic applicability, the devised set has been examined based on its fundamental operations, basic properties, and defuzzification mechanism. Offerings made to temples are considered sacred, so they cannot be disposed of in landfills. Waste from temples is usually disposed of in nearby lakes, ponds, and rivers. Thus, management of the temple floral waste (TFW) is essential to enhance the sustainability of the environment. In this regard, a green 4-dimensional transportation system under PBFHF settings is developed for the effective and sustainable managements of floral waste that is dumped from places of worship. For the most cost-effective and environmentally friendly results, this transportation system optimises a number of metrics, transportation expenditure (TE), carbon emission (CE), transportation time (TT), and labour cost (LC). Three sub-models are further developed from the proposed model under PBFHF conditions by incorporating the theory of carbon policy and risk assessments. The suggested transportation system is addressed by employing a fuzzy methodology, fuzzy programming (FP) as well as two non-fuzzy approaches, weighted sum technique (WST) and goal programming technique (GP). At last, there is a numerical computation along with comparison analysis, management insights, a conclusion with limitations, and a scope for further study.

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花卉废弃物可持续管理的综合概率双极费尔马特犹豫模糊运输配置与风险评估
本文提出了概率双极性费尔马特犹豫模糊集(PBFHFS)及其三角形版本,作为双极性模糊集(BFS)的概括,用于在单一框架内划分随机性和不精确性。为了提高实用性,我们根据其基本操作、基本属性和去模糊化机制对所设计的集合进行了研究。向寺庙供奉的祭品被视为圣物,因此不能丢弃在垃圾填埋场。寺庙的废弃物通常被丢弃到附近的湖泊、池塘和河流中。因此,寺庙花卉废物(TFW)的管理对于提高环境的可持续性至关重要。为此,我们开发了一种 PBFHF 环境下的绿色四维运输系统,用于有效和可持续地管理从宗教场所倾倒的花卉废物。为了实现最具成本效益和最环保的结果,该运输系统优化了一系列指标,包括运输支出(TE)、碳排放(CE)、运输时间(TT)和劳动力成本(LC)。在 PBFHF 条件下,结合碳政策和风险评估理论,从拟议模型中进一步开发了三个子模型。通过采用模糊方法、模糊编程(FP)以及加权和技术(WST)和目标编程技术(GP)这两种非模糊方法,对建议的运输系统进行了研究。最后,还进行了数值计算和比较分析,提出了管理见解、带有局限性的结论以及进一步研究的范围。
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来源期刊
Applied Soft Computing
Applied Soft Computing 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
6.90%
发文量
874
审稿时长
10.9 months
期刊介绍: Applied Soft Computing is an international journal promoting an integrated view of soft computing to solve real life problems.The focus is to publish the highest quality research in application and convergence of the areas of Fuzzy Logic, Neural Networks, Evolutionary Computing, Rough Sets and other similar techniques to address real world complexities. Applied Soft Computing is a rolling publication: articles are published as soon as the editor-in-chief has accepted them. Therefore, the web site will continuously be updated with new articles and the publication time will be short.
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