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Interval-valued probabilistic uncertain linguistic information for decision-making: selection of hydrogen production methodology
Soft Computing ( IF 3.1 ) Pub Date : 2021-05-24 , DOI: 10.1007/s00500-021-05845-8
R. Krishankumar , Arunodaya R. Mishra , K. S. Ravichandran , Samarjit Kar , Pankaj Gupta , Mukesh Kumar Mehlawat

As a promising option, Hydrogen as a clean energy alternative has been acknowledged for emissions alleviation and environmental safety. Life cycle sustainability evaluation of hydrogen can help the experts choose the desirable sustainable methodology for hydrogen production in life cycle standard over various options. This paper proposes a sustainable approach for selecting apt hydrogen production methodologies by integrating life cycle sustainability evaluation and an uncertain linguistic multi-attribute decision-making approach. As a useful extension to linguistic models, probabilistic uncertain linguistic term sets (PULTSs) have attracted many scholars. Elicitation of precise occurring probability value for each uncertain linguistic term is an interesting and open challenge. Occurring probability values are considered interval numbers with lower and upper limits associated with each uncertain linguistic term to form interval-valued probabilistic uncertain linguistic term sets (IVPULTSs). Various operations and axioms of the IVPULTS concept are discussed. Next, a novel aggregation operator is proposed under the IVPULTS context for aggregating decision expert’s preferences. Criteria weights are computed using the extended statistical variance approach on the IVPULTS environment, and the popular VIKOR method is extended on IVPULTSs for the best hydrogen production methodology selection. Here, four hydrogen production methodologies are chosen viz., coal gasification, steam reformation of methane, biomass gasification, and water electrolysis to realize the developed framework's applicability. Biomass Gasification is considered a viable option in this study. Finally, the strengths and weaknesses of the introduced approach are discussed by comparing it with other approaches.



中文翻译:

用于决策的区间值概率不确定语言信息:制氢方法的选择

作为一个有前途的选择,作为一种清洁能源替代品,在减排和环境安全方面得到了认可。氢的生命周期可持续性评估可以帮助专家在生命周期标准中从各种选项中选择理想的氢生产可持续方法。本文提出了一种通过整合生命周期可持续性评估和不确定语言多属性决策方法来选择合适的制氢方法的可持续方法。作为语言模型的有用扩展,概率不确定语言术语集(PULTS)吸引了许多学者。为每个不确定的语言术语提取精确的发生概率值是一个有趣且开放的挑战。出现的概率值被认为是具有与每个不确定语言术语相关联的上下限的区间数,以形成区间值概率不确定语言术语集(IVPULTS)。讨论了 IVPULTS 概念的各种操作和公理。接下来,在IVPULTS 上下文下提出了一种新的聚合算子,用于聚合决策专家的偏好。标准权重是在 IVPULTS 环境中使用扩展统计方差方法计算的,流行的 VIKOR 方法在 IVPULTS 上扩展,以选择最佳的制氢方法。在这里,选择了四种制氢方法,即,讨论了 IVPULTS 概念的各种操作和公理。接下来,在IVPULTS 上下文下提出了一种新的聚合算子,用于聚合决策专家的偏好。标准权重是在 IVPULTS 环境中使用扩展统计方差方法计算的,流行的 VIKOR 方法在 IVPULTS 上扩展,以选择最佳的制氢方法。在这里,选择了四种制氢方法,即,讨论了 IVPULTS 概念的各种操作和公理。接下来,在IVPULTS 上下文下提出了一种新的聚合算子,用于聚合决策专家的偏好。标准权重是在 IVPULTS 环境中使用扩展统计方差方法计算的,流行的 VIKOR 方法在 IVPULTS 上扩展,以选择最佳的制氢方法。在这里,选择了四种制氢方法,即煤气化、甲烷蒸汽重整、生物质气化和水电解,以实现所开发框架的适用性。在本研究中,生物质气化被认为是一个可行的选择。最后,通过与其他方法进行比较,讨论了所介绍方法的优缺点。

更新日期:2021-06-18
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