ARTICLE
26 December 2023
The Evaluation of Risk-Based Resource Allocation Alternatives Based on Fuzzy Information Axiom
Jie Yu Yuliang Wang
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1 Chongqing Construction Residential Engineering CO., LTD., Chongqing 400000, China,
2 School of Public Administration, Southwest Jiaotong University, Chengdu 610000, Sichuan Province, China,
JWA 2023 , 7(6), 70–75; https://doi.org/10.26689/jwa.v7i6.5716
© 2023 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

This paper presents an analysis of the challenges in risk-based resource allocation in engineering projects. Sub-sequently, an alternative resource allocation evaluation method based on language information and information axioms is proposed. Firstly, the evaluation team uses language information to give the evaluation information of the alternatives of risk resource allocation and provides the corresponding expected information for each resource. Secondly, according to the transformation formula of language information and fuzzy numbers, the above information is transformed into the evaluation information and expected information of the alternatives of risk-based resource allocation. Thirdly, according to the transformation formula of language information and fuzzy numbers, the above information is transformed into evaluation information and expectation information of alternative risk resource allocation. Finally, according to the information amount of each risk resource and the corresponding weight, the comprehensive information amount of the expected risk-based resource allocation alternatives is determined.

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