A group decision-making and optimization method based on relative inverse number

Liu, Chuanbin; Yu, Lean; Liu, Bin; Wang, Dan; Yang, Jianan

doi:10.1016/j.ins.2023.119327

Cited by 5 publications

(1 citation statement)

References 36 publications

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“…At the ranking stage, this can be done by sorting from smallest to largest value [24][25][26]. The following shows the ranking results for DM-1 and DM-2 which can be seen in Table 8.…”

Section: Borda Algorithm Computing Processmentioning

confidence: 99%

Modelling of Flood Hazard Early Warning Group Decision Support System

Soebroto,

Limantara,

Suhartanto

et al. 2024

Civ Eng J

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Early warning of flood hazards needs to be carried out comprehensively to avoid a higher risk of disaster. Every decision on early warning of a flood hazard is carried out in part by one party, namely the government or water resource managers. This research aims to provide a collaborative decision-making model for early warning of flood hazards through a Group Decision Support System Model (GDSS), especially in Indonesia. The novelty of this research is that the GDSS model involves more than one decision-maker and multi-criteria decision-making for early warning of flood hazards in the downstream Kali Sadar River, Mojokerto Regency, East Java Province, Indonesia. The GDSS model was developed using a hybrid method, namely the Analytical Network Process (ANP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). There was more than one decision result; voting was carried out using the BORDA method to produce the decision. The test results of GDSS were obtained using a Spearman rank correlation coefficient of 0.8425 and matrix confusion, an accuracy value of 86.7%, a precision value of 86.7%, a recall value of 86.7%, and an f-measure of 86.7%. Based on the test results, good results were obtained from the GDSS model. Doi: 10.28991/CEJ-2024-010-02-018 Full Text: PDF

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“…At the ranking stage, this can be done by sorting from smallest to largest value [24][25][26]. The following shows the ranking results for DM-1 and DM-2 which can be seen in Table 8.…”

Section: Borda Algorithm Computing Processmentioning

confidence: 99%