Grey Relational Analysis–Based MADM Strategy Under Possibility Environment and Its Application in the Identification of Most Important Parameter Affecting Climate Change and the Impact of Urbanization on Hydropower Plants

Abstract

Abstract This paper aims to establish the notion of Hamming distance under the possible environment and propose a multi-attribute decision-making (MADM) strategy based on grey relational analysis (GRA) under the Possibility environment. This study identified the most critical parameter or factors affected by climate change, urbanization, and machine failures. Furthermore, we validate the proposed MADM strategy by solving a real-world numerical example, namely, “identification of the most important parameters affecting climate change and the impact of urbanization on hydropower plants.”