Title: An analytical hierarchical process-based weighted assessment of factors contributing precipitation

Authors: B. Vaishnavi; J. Karthikeyan; Kiran Yarrakula

Addresses: Centre for Disaster Mitigation and Management, Vellore Institute of Technology, Vellore, 632014, India ' School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, 632014, India ' Centre for Disaster Mitigation and Management, Vellore Institute of Technology, Vellore, 632014, India

Abstract: The analytical hierarchical process is a prioritising algorithm used in the field of multi-criteria decision-making system. AHP has a special capability to handle intangible criteria, this exclusive nature strengthened its popularity. In this work, AHP is exercised to prioritise parameters that contribute to precipitation. Precipitation is any form of water that reaches the earth surface from the atmosphere such as rain, dew, snow, etc. Recent research consider precipitation as one of the crucial phenomena of climate change and lots of modelling techniques are proposed to predict precipitation using varied parameters. The significance of the study is to address minor fallout of AHP in rank reversal and uncertainty in ranking the given parameters, by attempting to prioritise six basic climatic parameters such as maximum temperature, wind velocity, relative humidity, solar radiation and elevation, which are considered to contribute precipitation.

Keywords: analytical hierarchical processing; AHP; precipitation; climatic factors affecting precipitation; multi-criteria decision-making algorithm.

DOI: 10.1504/IJIE.2021.114507

International Journal of Intelligent Enterprise, 2021 Vol.8 No.2/3, pp.267 - 277

Received: 22 Jun 2018
Accepted: 24 Mar 2019
Published online: 26 Apr 2021 *

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