The picture fuzzy set (PFS) is a powerful tool to collect and handle large amounts of uncertain assess information in a new light. In this study, we explore some distance measures for the PFSs and propose Picture fuzzy ordered weighted distance measure and Picture fuzzy hybrid weighted distance...

In practice, there is a massive time lag between data loss and its cause identification. The existing techniques perform it comprehensively, but they consume too much time, so there is a need for fast and reliable methods. The article’s purpose is to develop a rapid methodology to assess the...

Purpose - The current paper is a brief review of the emerging field of quantum-like modelling in game theory. This paper aims to explore several quantum games, which are superior compared to their classical counterparts, which means either they give rise to superior Nash equilibria or they make...

We study how spillovers from water pollution cleanup in the Ganges affect social welfare in an aggregate economy consisting of Kanpur and Varanasi, two cities through which this river flows. We view pollution cleanup in both cities as a local public good and point out that, if Kanpur cleans up...

Ever since the occurrence of the first oil shock, which struck the Japanese economy in 1973, Japan has made efforts to increase its energy efficiency, reduce its energy intensity, decrease its dependence on fossil fuels, and diversify its energy basket by introducing alternative energy sources,...

When consumption of water and other utilities is measured collectively and payment for such services is equally shared among members of the group, individuals may use more than what is socially optimal. In this paper, we evaluate how installation of individual meters affects water consumption....

This study develops quantitative models to conduct economic assessments of the feasibility of producing hydrogen energy from renewable energy and subsequently applying it in the road transport sector in the People's Republic of China. The study applies a well-to-wheel model to analyze the cost...

Over the past decade, climate variabilities have emerged as shaping the dynamics of international trade. The adverse externalities posed by climate change require a corresponding improvement in the production of food, trade and the adoption of abundant renewable energy resources. Our study...

The European countries are highly dependent on energy imports, making them vulnerable to international geopolitical threats. In this context, improving energy efficiency emerges as a cost-effective solution. The primary purpose of this study is to investigate the impact of geopolitical risk...