Fuzzy Decision Support Modeling for Hydrogen Power Plant Selection Based on Single Valued Neutrosophic Sine Trigonometric Aggregation Operators

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.

RETRACTED ARTICLE: A new emergency response of spherical intelligent fuzzy decision process to diagnose of COVID19

“…Ashraf et al. ( 2020h ) presented the decision making technique using sine function and Barukab (Barukab et al. 2019 ) introduced new approach to fuzzy TOPSIS method based on entropy measure under spherical fuzzy information.…”

Linguistic single‐valued neutrosophic soft sets with applications in game theory

“…Akram and Luqman 40 proposed a new frame work for handling single‐valued neutrosophic information. Moreover, many authors investigated different kinds of single‐valued neutrosophic aggregation operators such as the logarithmic hybrid aggregation operator, the sine trigonometric aggregation operator and the Hamacher aggregation operator 41‐43 . De et al 44 proposed the solution of an economic production quantity model for imperfect production process under game by using neutrosophic approach.…”

Picture Fuzzy TOPSIS Method Based on CPFRS Model: An Application to Risk Management Problems

“…At the same time, as the IFS theory gradually matures, its limitations gradually appear. erefore, many scholars are committed to the expansion and development of IFS theory, and various expansion forms and their applications have been proposed, such as pythagorean fuzzy set theory [10][11][12][13][14][15][16], intuitionistic cubic fuzzy set theory [17], neutrosophic set theory [18][19][20][21][22], and so on.…”