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Decision Support Technique Based on Neutrosophic Yager Aggregation Operators: Application in Solar Power Plant Locations—Case Study of Bahawalpur, Pakistan
Mathematical Problems in Engineering Pub Date : 2020-12-02 , DOI: 10.1155/2020/6677676
Shabeer Khan 1 , Saleem Abdullah 1 , Shahzaib Ashraf 2 , Ronnason Chinram 3 , Samruam Baupradist 4
Affiliation  

The problem of energy crisis and environmental pollution has been mitigated by the generation and use of solar power; however, the choice of locations for solar power plants is a difficult task because the decision-making process includes political, socio-economic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of solar power plant locations. Neutrosophic sets (NSs) are the latest extension of the ordinary fuzzy sets. The main characteristic of the neutrosophic sets is satisfying the condition that the sum of the truth, indeterminacy, and falsity grades must be at least zero and at most three. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under neutrosophic environments (NE). Furthermore, based on these Yager operational laws, we develop a list of novel aggregation operators under NE. In addition, we design an algorithm to tackle the uncertainty to investigating the best solar power plant selection in five potential locations in Pakistan. A numerical example of solar power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

中文翻译:

基于中智Yager集合算子的决策支持技术:在太阳能发电厂中的应用—以巴基斯坦Bahawalpur为例

太阳能发电和使用减轻了能源危机和环境污染的问题;但是,选择太阳能发电厂的位置是一项艰巨的任务,因为决策过程包括政治,社会经济和环境方面。因此,通过选择次优的位置已经产生了一些不利后果。本文的目的是解决用于选择太阳能发电厂位置的综合定性和定量多准则决策框架。中智集(NSs)是普通模糊集的最新扩展。中智集的主要特征是满足以下条件:真相,不确定性和虚假等级的总和必须至少为零且最多为3。在这项研究中 我们在中智环境(NE)下基于Yager t-范数和t-conorm建立了新颖的运算法则。此外,基于这些Yager运算法则,我们在NE下开发了一系列新颖的聚合运算符。此外,我们设计了一种算法来解决不确定性,以便调查巴基斯坦五个潜在地点的最佳太阳能发电厂选择。以太阳能发电厂选址问题为例,证明了所提出研究的优越性和有效性。此外,将进行详细的比较以评估已建立技术的性能和有效性。我们设计了一种算法来解决不确定性,以便调查巴基斯坦五个潜在地点的最佳太阳能发电厂选择。以太阳能发电厂选址问题为例,证明了所提出研究的优越性和有效性。此外,将进行详细的比较以评估已建立技术的性能和有效性。我们设计了一种算法来解决不确定性,以便调查巴基斯坦五个潜在地点的最佳太阳能发电厂选择。以太阳能发电厂选址问题为例,证明了所提出研究的优越性和有效性。此外,将进行详细的比较以评估已建立技术的性能和有效性。
更新日期:2020-12-02
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