Urban Fire Emergency Rescue Plan Selection Model with Multi-Granularity Uncertainty Language and Prospect Theory

DOI

10.2991/978-94-6463-847-9_10How to use a DOI?

Keywords

Multi-granularity uncertain language; prospect theory; multi-attribute decision making; two-tuple linguistic model; random forest

Abstract

Aiming at the problem of low matching degree of the traditional urban fire emergency decision-making plan selection model, this paper combines multi-granularity uncertainty language with prospect theory to construct a new decision-making model. Firstly, the multi-granularity uncertainty language is used to solve the diversity evaluation of alternatives given by multiple experts. In detail, the numerical conversion and the same granularity conversion of language items are realized through the two-tuple semantic model. Secondly, a six-dimensional fire impact prediction system is constructed based on the random forest algorithm to determine the reference point, and the benefit-loss perception of the alternatives are quantified by combining the improved prospect theory value function. Finally, the effectiveness of the proposed model is verified by a real urban fire case, the result of the case shows that the proposed model significantly improves the matching efficiency of real fire and alternatives suggested by experts.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xuemei Zhou
AU  - Nady Slam
AU  - Dingdong Ge
PY  - 2025
DA  - 2025/09/23
TI  - Urban Fire Emergency Rescue Plan Selection Model with Multi-Granularity Uncertainty Language and Prospect Theory
BT  - Proceedings of the 2025 6th International Conference on Urban Construction and Management Engineering (ICUCME 2025)
PB  - Atlantis Press
SP  - 87
EP  - 93
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-847-9_10
DO  - 10.2991/978-94-6463-847-9_10
ID  - Zhou2025
ER  -