Use and Misuse of GIS-Based MCDM Models in Applied Geomorphology: Issues and Challenges

The main goal ofApplied geomorphology this chapter is to look at how multi-criteria decision-making (MCDMMCDM) modelsModels based on Geographic Information SystemsGeographic Information System (GIS) (GIS) can be used correctly and incorrectly in geomorphologyGeomorphology. Geographic Information SystemsGeographic Information System (GIS) (GIS) make collecting, analyzing, and displaying spatial data easier. This makes them an essential tool for studying geomorphic phenomena and how landforms change over time. When combining MCDMMCDM modelsModels with geomorphologyGeomorphology, many criteria and factors can be evaluated simultaneously. This helps people make better decisions and understand how landscapes change over time. Nevertheless, properly utilizing GIS-based Multi-Criteria Decision-MakingMulti-Criteria Decision Making (MCDMMCDM) modelsModels may result in better results and correct decision-making. Because collecting data on geomorphic processes is complex and can lead to mistakes, one of the biggest problems is making sure that the data that is put in is accurate and of good quality. The results from Multiple Criteria Decision-Making (MCDMMCDM) modelsModels may not be as reliable if they are based on incomplete datasets. Moreover, due to the intricate nature of these modelsModels, stakeholders may express a need to elucidate the fundamental decision-making procedure. Geomorphologists are still having trouble finding the best balance between making modelsModels that are both complicated and easy to understand. We must use multi-criteria decision-making (MCDMMCDM) modelsModels based on geographic information systemsGeographic Information System (GIS) (GIS) that are creative and responsible for addressing these problems. This chapter looks at practical strategies and possible solutions, allowing us to use these modelsModels in geomorphological research and make decisions in the best way possible. Additionally, it underscores the necessity for continued investigation and advancement within this dynamic domain.