System for evaluating priority of construction period index based on multi-attribute decision
By using a multi-attribute decision-making system, combined with various fuzzy set and weight calculation methods, the problems of multi-attribute, multi-objective, and uncertainties in the decision-making of construction period indicators in railway engineering were solved. This enabled the scientific and reasonable ranking of construction period indicators, improving the efficiency and scientific nature of construction management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INST OF COMPUTING TECH CHINA ACAD OF RAILWAY SCI
- Filing Date
- 2026-03-27
- Publication Date
- 2026-07-24
AI Technical Summary
In existing railway engineering construction, the decision-making methods for schedule indicators are difficult to systematically handle multi-attribute, multi-objective, and uncertain information. Simply relying on fuzzy set methods cannot take into account both group benefits and individual preferences, resulting in a lack of scientific rigor and rationality in the decision-making results.
A project schedule priority evaluation system based on multi-attribute decision-making is adopted. The system acquires multi-source information through the data acquisition module, combines various fuzzy expression forms such as intuitionistic fuzzy sets, hesitant fuzzy sets, and interval value fuzzy sets, and combines the entropy weight method and the analytic hierarchy process to construct a multi-criteria compromise ranking method, generate a comprehensive priority score, and generate a visual report through the result output module.
This enabled the scientific and reasonable prioritization of project schedule indicators, improved the objectivity and efficiency of the decision-making process, ensured the scientific and flexible nature of construction management, and enhanced the efficiency and scientific nature of project schedule management.
Smart Images

Figure CN122452976A_ABST