There has been a quick development in construction activities during the last couple of decades attributable to a general improvement in all features of humankind. Because of innovative progressions and regularly expanding human progress, there is a diligent requirement of power. Close by the ordinary energy sources, renewable energy sources have likewise lead significantly to the rising power requirement. All over the world in the past, a number of small hydropower plants (SHPPs) have been developed, as a renewable energy source. Generally, these SHPPs are being manufactured and worked by the private designers consenting to the administration rules. So as to help a designer in choosing the most productive and doable SHPP for development and consequent activity, the concept of the intuitionistic cubic fuzzy set (ICFS) theory is established and a few important operations for ICFSs are characterized, and also a strategy dependent on intuitionistic cubic fuzzy Hamacher hybrid averaging (ICFHHA) operator, intuitionistic cubic fuzzy Hamacher order weighted averaging (ICFHOWA) operator, and intuitionistic cubic fuzzy Hamacher weighted averaging (ICFHWA) operators is utilized in the present paper. The financial criteria and technobusiness, as assumed for examining the practicality of the candidate SHPPs, are presented qualitatively utilizing intuitionistic cubic fuzzy numbers (ICFNs). Further study their fundamental properties and the relationship among these aggregation operators. Developed group decision‐making (DM) algorithm under intuitionistic cubic fuzzy (ICF) environment. An interpretative case for the analysis of SHPP for construction is given to demonstrate the feasibility and practicality of the mentioned new techniques. Further validate its effectiveness and benefits via a comparative analysis with pre‐existing aggregation operators, and the outcomes demonstrate that the proposed SHPP determination model has some special favorable circumstances, which is progressively practical and adaptable for SHPP choice under a complex and uncertain environment.

中文翻译：

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基于直觉三次模糊聚合信息的小水电站选址多准则群决策支持系统

在过去的几十年中，由于人类所有特征的普遍改善，建筑活动得到了快速发展。由于创新的进步和不断扩大的人类进步，对权力的需求是勤奋的。与普通能源相近，可再生能源同样显着导致电力需求的增加。过去，世界各地已经开发了许多小水电站 (SHPP) 作为可再生能源。通常，这些 SHPP 是由同意管理规则的私人设计师制造和工作的。为了帮助设计师选择最具生产力和可行性的 SHPP 进行开发和后续活动，建立了直觉三次模糊集 (ICFS) 理论的概念并描述了 ICFS 的一些重要操作，以及依赖于直觉三次模糊 Hamacher 混合平均 (ICFHHA) 算子、直觉三次模糊 Hamacher 顺序加权平均 (ICFHOWA) ) 算子，本文使用直觉三次模糊 Hamacher 加权平均 (ICFHWA) 算子。财务标准和技术商业，作为检查候选 SHPP 实用性的假设，使用直觉三次模糊数 (ICFN) 定性地呈现。进一步研究它们的基本属性以及这些聚合算子之间的关系。开发了直觉三次模糊（ICF）环境下的群决策（DM）算法。给出了用于建筑 SHPP 分析的解释性案例，以证明上述新技术的可行性和实用性。通过与现有聚合算子的比较分析进一步验证其有效性和收益，结果表明所提出的 SHPP 确定模型具有一些特殊的有利条件，在复杂和不确定的环境下逐渐实用和适应 SHPP 选择。