Abstract
In recent decades, there has been a massive growth towards the prime interest of the hydrogen energy industry in automobile transportation fuel. Hydrogen is the most plentiful component and a perfect carrier of energy. Generally, evaluating a suitable hydrogen power plant site is a complex selection of multi-criteria decision-making (MCDM) problem concerning proper location assessment based on numerous essential criteria, the decision-makers expert opinion, and other qualitative/quantitative aspects. This paper presents the novel single-valued neutrosophic (SVN) multi-attribute decision-making method to help decision-makers choose the optimal hydrogen power plant site. At first, novel operating laws based on sine trigonometric function for single-valued neutrosophic sets (SVNSs) are introduced. The well-known sine trigonometry function preserves the periodicity and symmetric in nature about the origin, and therefore it satisfies the decision-maker preferences over the multi-time phase parameters. In conjunction with these properties and laws, we define several new aggregation operators (AOs), called SVN weighted averaging and geometric operators, to aggregate SVNSs. Subsequently, on the basis of the proposed AOs, we introduce decision-making technique for addressing multi-attribute decision-making (MADM) problems and provide a numerical illustration of the hydrogen power plant selection problem for validation. A detailed comparative analysis, including a sensitivity analysis, was carried out to improve the understanding and clarity of the proposed methodologies in view of the existing literature on MADM problems.
Highlights
Fossil fuels and renewable energy are the most important natural resources for the social and economic growth of a country
The major advantages of this function are its periodicity and that it is symmetric about the origin, and it satisfies the decision-maker preferences over the multi-time phase parameters
Novel sine trigonometric function-based operational laws are introduced under single-valued neutrosophic number (SVNN)
Summary
Fossil fuels and renewable energy are the most important natural resources for the social and economic growth of a country. Over the past few decades, numerous researchers and decision-makers have focused almost entirely on renewable energy/technology selection issues, on hydrogen power, which has always been a major task. Logarithmic-based aggregation operators for spherical fuzzy numbers to deal with uncertainty in decision-making problems. Ashraf et al [35] introduced the spherical fuzzy set representation of spherical fuzzy t-norm and t-conorm and discussed the TOPSIS-based decision-making technique under SF information. Liu et al [42] presented the power muirhead mean AOs under SVN information and discussed their application in decision-making problem. The major advantages of this function are its periodicity and that it is symmetric about the origin, and it satisfies the decision-maker preferences over the multi-time phase parameters In this manner, by keeping in mind the advantages and usefulness of ST function, there is a need to build up some new ST operational laws (STOLs) for SVNSs and SVNNs and studies their behavior.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
