In recent years, there is a rapid development in the direction of hydrogen energy industry having primary involvement in automobile transportation fuel. Hydrogen is the most abundant element and serves as a perfect energy carrier. In general, choosing an appropriate hydrogen power plant site is a complex selection multi-criteria decision making (MCDM) problem which involves proper assessment of a location based on various essential criteria, decision maker's expert opinion and other qualitative/quantitative factors. In the present communication, we first incorporate (R,S)-Norm Pythagorean fuzzy entropy and respective discriminant measure in the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) MCDM techniques and proposed the modified MCDM algorithms in two different stages. Further, the hydrogen power plant site selection problem has been dealt with proper matching of the laid down essential criteria under a wider sense of Pythagorean fuzzy information measures. Such measures have not been utilized in the study of site selection problems of the hydrogen energy resources. In view of the existing literature on the MCDM problems, comparative remarks including the sensitivity analysis and the advantages have been presented for providing the novelty of the proposed methodologies. The presented work proves to be an effective tool for handling the various similar types of selection problems with a desired consistency.

近年来，氢能工业的发展迅速，主要涉及汽车运输燃料。氢是最丰富的元素，是理想的能量载体。通常，选择合适的氢电厂站点是一个复杂的选择多标准决策（MCDM）问题，涉及基于各种基本标准，决策者的专家意见和其他定性/定量因素对位置进行正确评估。在本通讯中，我们首先合并（R，S-范数勾股模糊熵和VIseKriterijumska Optimizacija I Kompromisno Resenje（VIKOR）中的判别测度和基于理想解的相似度偏好技术（TOPSIS）MCDM技术，并在两个不同阶段提出了改进的MCDM算法。此外，在更广泛的毕达哥拉斯模糊信息测度意义上，氢电厂选址问题已通过适当匹配规定的基本标准得到解决。在研究氢能资源的选址问题中尚未采用这种措施。鉴于有关MCDM问题的现有文献，已经提出了包括敏感性分析和优点的比较性评论，以提供所提出方法的新颖性。