An Improved Multilevel Fuzzy Comprehensive Evaluation to Analyse on Engineering Project Risk

• 영문명: An Improved Multilevel Fuzzy Comprehensive Evaluation to Analyse on Engineering Project Risk
• 발행기관: 국제융합경영학회
• 저자명: Xin LI Mufeng LI Xia HAN
• 간행물 정보: 『융합경영연구』Vol.10 No.5, 1~6쪽, 전체 6쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2022.10.31

영문 초록

Purpose: To overcome the question that depends too much on expert's subjective judgment in traditional risk identification, this paper structure the multilevel generalized fuzzy comprehensive evaluation mathematics model of the risk identification of project, to research the risk identification of the project. Research design, data and methodology: This paper constructs the multilevel generalized fuzzy comprehensive evaluation mathematics model. Through iterative algorithm of AHP analysis, make sure the important degree of the sub project in risk analysis, then combine expert's subjective judgment with objective quantitative analysis, and distinguish the risk through identification models. Meanwhile, the concrete method of multilevel generalized fuzzy comprehensive evaluation is probed. Using the index weights to analyse project risks is discussed in detail. Results: The improved fuzzy comprehensive evaluation algorithm is proposed in the paper, at first the method of fuzzy sets core is used to optimize the fuzzy relation matrix. It improves the capability of the algorithm. Then, the method of entropy weight is used to establish weight vectors. This makes the computation process fair and open. And thereby, the uncertainty of the evaluation result brought by the subjectivity can be avoided effectively and the evaluation result becomes more objective and more reasonable. Conclusions: In this paper, we use an improved fuzzy comprehensive evaluation method to evaluate a railroad engineering project risk. It can give a more reliable result for a reference of decision making.

목차

1. Introduction

2. Literature Review

3 . An I mproved M ultilevel F uzzy C omprehensive Evaluation Algorithm

4. Model of Project Risk

5. Conclusion

References

키워드

Fuzzy mathematics Project risk Fuzzy assessment Improved multilevel fuzzy comprehensive