A Novel Framework to Strengthen Early Warning Systems


  • Harita Ahuja Department of Computer Science, Acharya Narendra Dev College, University of Delhi, India
  • Sunita Narang Department of Computer Science, Acharya Narendra Dev College, University of Delhi, India
  • Rakhi Saxena Department of Computer Science, Deshbandhu College, University of Delhi, India
Volume: 13 | Issue: 5 | Pages: 11917-11923 | October 2023 | https://doi.org/10.48084/etasr.6289


The impact of disasters on the population and environment is an important research area. Multiple criteria need to be analyzed while making policy decisions in order to control the effect of a disaster. Researchers have used many variants of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a Multi-Criteria Decision-Making (MCDM) method for prioritizing the alternatives. Additionally, the detrimental effects of disasters have compelled stakeholders to proactively prepare by strengthening crucial key elements of an Early Warning System (EWS) so that timely alerts can be produced. In this paper, a Disaster Information Provider (DIP) framework is proposed, which employs a TOPSIS variant to bolster weak elements of a people-centric EWS. Governments may utilize delivered rankings to strengthen the weak elements of the EWS in an affected area. Extensive experimentation proves the usability of the DIP framework for strengthening EWS.


MCDM, TOPSIS, disaster management, EWS


Download data is not yet available.


C. J. Winter, "Disaster? No surprise," Environmental Politics, vol. 31, no. 1, pp. 70–88, Jan. 2022.

M. Esposito, L. Palma, A. Belli, L. Sabbatini, and P. Pierleoni, "Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review," Sensors, vol. 22, no. 6, Jan. 2022, Art. no. 2124.

"Early warning system | UNDRR," Aug. 30, 2007. http://www.undrr.org/terminology/early-warning-system.

T. Kelhe, C. Jain, M. Bhandarkar, and A. Deshpande, "A Smart Early Warning System for Disease Outbreak with a Case Study of COVID-19 in India," in IEEE Pune Section International Conference, Pune, India, Dec. 2020, pp. 113–118.

A. H. S. Fang, W. T. Lim, and T. Balakrishnan, "Early warning score validation methodologies and performance metrics: a systematic review," BMC Medical Informatics and Decision Making, vol. 20, no. 1, Jun. 2020, Art. no. 111.

T. D. G. Hermans, R. Sakic Trogrlic, M. J. C. van den Homberg, H. Bailon, R. Sarku, and A. Mosurska, "Exploring the integration of local and scientific knowledge in early warning systems for disaster risk reduction: a review," Natural Hazards, vol. 114, no. 2, pp. 1125–1152, Nov. 2022.

W. Wang, T. Zhang, T. Yao, and B. An, "Monitoring and early warning system of Cirenmaco glacial lake in the central Himalayas," International Journal of Disaster Risk Reduction, vol. 73, Apr. 2022, Art. no. 102914.

E. K. Ronoh, S. Mirau, and M. A. Dida, "Human-Wildlife Conflict Early Warning System Using the Internet of Things and Short Message Service," Engineering, Technology & Applied Science Research, vol. 12, no. 2, pp. 8273–8277, Apr. 2022.

DKG 2020, "COVID-19 Regional Safety Assessment." https://analytics.dkv.global/covid-regional-assessment-200-regions/full-report.pdf.

EWC III, "Developing Early Warning Systems: A Checklist," in Third International Conference on Early Warning, Bonn, Germany, Mar. 2006.

M. F. Abdullah, S. Siraj, and R. E. Hodgett, "An Overview of Multi-Criteria Decision Analysis (MCDA) Application in Managing Water-Related Disaster Events: Analyzing 20 Years of Literature for Flood and Drought Events," Water, vol. 13, no. 10, Jan. 2021, Art. no. 1358.

M. E. Banihabib, F.-S. Hashemi-Madani, and A. Forghani, "Comparison of Compensatory and non-Compensatory Multi Criteria Decision Making Models in Water Resources Strategic Management," Water Resources Management, vol. 31, no. 12, pp. 3745–3759, Sep. 2017.

E. S. Saleh and A. M. Kimiagari, "Ranking Tehran’s Stock Exchange Top Fifty Stocks Using Fundamental Indexes and Fuzzy TOPSIS," Engineering, Technology & Applied Science Research, vol. 7, no. 4, pp. 1863–1869, Aug. 2017.

M. Mousavi, I. Ghazi, and B. Omaraee, "Risk Assessment in the Maritime Industry," Engineering, Technology & Applied Science Research, vol. 7, no. 1, pp. 1377–1381, Feb. 2017.

N. Benmoussa, A. Elyamami, K. Mansouri, M. Qbadou, and E. Illoussamen, "A Multi-Criteria Decision Making Approach for Enhancing University Accreditation Process," Engineering, Technology & Applied Science Research, vol. 9, no. 1, pp. 3726–3733, Feb. 2019.

A. R. Radhi and A. M. Burhan, "Non-Profit Organization Project Selection Process Using the Hygiene Method of Multi-Criteria Decision Making," Engineering, Technology & Applied Science Research, vol. 12, no. 5, pp. 9097–9101, Oct. 2022.

K. R. Ramakrishnan and S. Chakraborty, "A cloud TOPSIS model for green supplier selection," Facta Universitatis, Series: Mechanical Engineering, vol. 18, no. 3, pp. 375–397, Oct. 2020.

U. Rahardja, N. Lutfiani, S. Sudaryono, and R. Rochmawati, "The Strategy of Enhancing Employee Reward Using TOPSIS Method as a Decision Support System," Indonesian Journal of Computing and Cybernetics Systems, vol. 14, no. 4, pp. 387–396, Oct. 2020.

B. Yang, J. Zhao, and H. Zhao, "A robust method for avoiding rank reversal in the TOPSIS," Computers & Industrial Engineering, vol. 174, Dec. 2022, Art. no. 108776.

S. Hezer, E. Gelmez, and E. Ozceylan, "Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment," Journal of Infection and Public Health, vol. 14, no. 6, pp. 775–786, Jun. 2021.

H. Maleki and S. Zahir, "A Comprehensive Literature Review of the Rank Reversal Phenomenon in the Analytic Hierarchy Process," Journal of Multi-Criteria Decision Analysis, vol. 20, no. 3–4, pp. 141–155, 2013.

WMO, "Multi-hazard Early Warning Systems: A Checklist," in Outcome of the first Multi-hazard Early Warning Conference, Cancun, Mexico, Dec. 2017, pp. 1–20.

D. Baneres, M. E. Rodriguez, A. E. Guerrero-Roldan, and A. Karadeniz, "An Early Warning System to Detect At-Risk Students in Online Higher Education," Applied Sciences, vol. 10, no. 13, Jan. 2020, Art. no. 4427.

R. F. de F. Aires and L. Ferreira, "The rank reversal problem in multi-criteria decision making: A literature review," Pesquisa Operacional, vol. 38, no. 2, pp. 331–362, Aug. 2018.

P. Talukdar and P. Dutta, "A Comparative Study of TOPSIS Method via Different Distance Measure," International Journal of Research in Advent Technology, vol. 7, no. 5, pp. 118–126, Jun. 2019.

R. F. de F. Aires and L. Ferreira, "A new approach to avoid rank reversal cases in the TOPSIS method," Computers & Industrial Engineering, vol. 132, pp. 84–97, Jun. 2019.

W. Yang, "Ingenious Solution for the Rank Reversal Problem of TOPSIS Method," Mathematical Problems in Engineering, vol. 2020, Jan. 2020, Art. no. e9676518.


How to Cite

H. Ahuja, S. Narang, and R. Saxena, “A Novel Framework to Strengthen Early Warning Systems”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 5, pp. 11917–11923, Oct. 2023.


Abstract Views: 334
PDF Downloads: 235

Metrics Information

Most read articles by the same author(s)