China has become a global leader in green infrastructure finance, investing heavily renewable energy, sustainable transportation, and buildings. However, there are multiple risks challenges that impede the development of finance. Thus, this study analyzes prioritizes associated with finance proposes policy plans to mitigate these risks. A Fuzzy analytical hierarchy process (AHP) is used identif...

Now a days, Lean manufacturing becomes a key strategy for global competition. In this environment the most important process is the efficient selection of suppliers. In any organization various criteria such as quality, cost, location etc are used for the selection of supplier which plays a vital role in the industry. In the present work multi criteria decision making (MCDM) methods are used su...

Himalayan mountains are one of the most seismo-tectonically active zones on surface earth. Recurring moderate and high magnitude earthquakes not uncommon in this region. This paper maps earthquake vulnerability region using integrated multi-criteria decision models. Factors which may influence a can be categorized social, geotechnical, structural, physical parameters. We have used analytical hi...

Abstract The South-to-North Water Diversion Project (SNWDP) is a cross-basin large-scale water infrastructure, whose operational management faces many complex risks. This study constructs an safety risk analysis model based on fuzzy VIKOR-FMEA. First, the expert team used linguistic variables to evaluate severity of each failure mode (S), frequency occurrence (O), and difficulty detection (D) i...

Supply chain management is an essential part of organisation's sustainable programme. Understanding the concentration natural environment, public, and economic influence feasibility your suppliers purchasers becoming progressively familiar as all industries are moving towards a massive potential. To handle such sort developments in supply involvement fuzzy settings their generalisations playing...

Abstract Exploration and prioritization of potentially mineralized areas by integrating different geoscientific datasets help to manage the time costs an exploration project. In this study, copper explored were done on Kerman belt, which was formed due subduction Arabian plate under Iranian plate. After processing layers (geology, hydrothermal alteration zones, stream sediment geochemistry, air...