Due to the increased investments in the photovoltaic sector, site selection for the large-scale photovoltaic power plants based on sustainability perspectives has become a critical issue for project planning. To cope with this problem, in this article, multicriteria decision-making frameworks are proposed concerning independent and correlated relationships among attributes under a novel fuzzy environment of trapezoidal Pythagorean fuzzy Z two-tuple linguistic variables (TrPFZ2TLVs). First, to reflect ambiguity and reliability for evaluation, TrPFZ2TLV is defined along with its interactive operation rules, distance measures, and a method of unifying multigranularity TrPFZ2TLVs. Afterward, evaluation frameworks are proposed based on interactive aggregation operators with the weights of criteria already known, among which a hybrid aggregation operator is proposed that could weigh both TrPFZ2TLV themselves and their ordered positions when the attributes’ relationships approximate independence, and a power aggregation operator is developed to eliminate extreme or biased evaluation values when the correlations among criteria are emphasized. Finally, a case study is provided before comparative and sensitivity analyses are carried out to verify their validity and reliability. In terms of practical applications, practitioners can select appropriate frameworks for evaluation based on the desired effects of data processing outputs, as well as the assumption of correlation among criteria.

中文翻译：

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基于TrPFZ2TLV的大型太阳能光伏电站选址决策框架

随着光伏行业投资的增加，基于可持续发展视角的大型光伏电站选址已成为项目规划的关键问题。为了解决这个问题，本文提出了在梯形毕达哥拉斯模糊 Z 二元语言变量（TrPFZ2TLV）的新颖模糊环境下考虑属性之间的独立和相关关系的多标准决策框架。首先，为了反映评估的模糊性和可靠性，定义了TrPFZ2TLV及其交互操作规则、距离度量和统一多粒度TrPFZ2TLV的方法。随后，提出了基于交互式聚合算子的评估框架，其中标准权重已知，其中提出了一种混合聚合算子，可以在属性关系近似独立时对TrPFZ2TLV本身及其有序位置进行权衡，并提出了功率聚合算子是为了在强调标准之间的相关性时消除极端或有偏见的评估值。最后，在进行比较分析和敏感性分析之前提供了案例研究，以验证其有效性和可靠性。在实际应用中，实践者可以根据数据处理输出的预期效果以及标准之间相关性的假设，选择合适的评估框架。