Developing a weather index using fuzzy multi-criteria approach

This study focuses to develop multi-criteria index approach to identify the weather risk of cities. Generally, extreme weather conditions mainly occur due to rainfall, temperature and wind. Hence, rainfall, temperature and wind speed are selected as parameters. Due to the uncertainty nature of the p...

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Bibliographic Details
Main Authors: Kularathne, R.S.M., Piyatilake, I.T.S., Perera, S.S.N.
Format: Conference Proceeding
Language:English
Subjects:
Decision making
Multiple criterion
Parameter uncertainty
Rain
Rainfall
Risk levels
Weather
Wind speed
Online Access:Get full text
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Summary:This study focuses to develop multi-criteria index approach to identify the weather risk of cities. Generally, extreme weather conditions mainly occur due to rainfall, temperature and wind. Hence, rainfall, temperature and wind speed are selected as parameters. Due to the uncertainty nature of the problem variables are fuzzified using Fuzzy Analytical Hierarchical Process (FAHP). The weights of these variables are derived by using geometric mean method and Chang’s extent method. Afterward, the weights of proposed model are derived using the linear combination of the geometric mean method and Chang’s extent method. Technique for Order Preference by Similarity to Ideal Situation (TOPSIS) which is a widely used for multi-criteria decision making is used to quantify the weather risk. The data from 16 world cities are selected for the model building and validation process. In the end, a case study is carried out to identify the weather risk level in different cities of Sri Lanka.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0017114