The Evaluation of Risk-Based Resource Allocation Alternatives Based on Fuzzy Information Axiom

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.