AHP Approach using Interval Neutrosophic Weighted Averaging (INWA) Operator for Ranking Flash Floods Contributing Factors

Abstract

Aggregation operators are crucial in the process of multicriteria decision-making (MCDM)
problems, as their main goal is to aggregate a collection of input to a single number. Analytic
Hierarchy Process (AHP) has been used to solve a variety of MCDM situations in which crisp
numbers are used to define linguistic assessment. The Interval-Valued Neutrosophic (IVN) number
can consider the indeterminacy, fuzziness, and uncertainty in the real-world problem. A new
combination of Interval Neutrosophic Weighted Averaging (INWA) aggregation operators into the
AHP method is proposed in this study. The proposed combination method is applied to a case of
factors affecting floods. In recent years, flood is one of the frequent natural disasters impacting
Penang, one of the states that is famous for its tourism industry. Hence, an improved decision model
is used to rank the factors of flash floods in Penang Malaysia. based on the INWA aggregated matrix
implemented into the AHP approach is presented. The ranking order is determined after assessing
the obtained data, with the highest score being the most important factor (rephrase ayat ni).
Government and authorities can use the findings to establish early preparations and prevention
strategies to deal with the flash floods problem.