A novel evidential FMEA method by integrating fuzzy belief structure and grey relational projection method

2019 ◽  
Vol 77 ◽  
pp. 136-147 ◽  
Author(s):  
Zhen Li ◽  
Luyuan Chen
Keyword(s):  
Projection Method ◽  
Belief Structure ◽  
Fmea Method ◽  
Grey Relational

Failure mode and effects analysis using D numbers and grey relational projection method

2014 ◽  
Vol 41 (10) ◽  
pp. 4670-4679 ◽  
Author(s):  
Hu-Chen Liu ◽  
Jian-Xin You ◽  
Xiao-Jun Fan ◽  
Qing-Lian Lin
Keyword(s):  
Failure Mode ◽  
Projection Method ◽  
Grey Relational ◽  
D Numbers

China's overcapacity industry evaluation based on TOPSIS grey relational projection method with mixed attributes

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiumei Hao ◽  
Mingwei Li ◽  
Yuting Chen
Keyword(s):  
Decision Making ◽  
Projection Method ◽  
Evaluation Method ◽  
Nonferrous Metals ◽  
Variation Method ◽  
Interval Numbers ◽  
Content Type ◽  
Automobile Manufacturing ◽  
The Government ◽  
Grey Relational

PurposeThis paper takes the seven overcapacity industries such as the textile industry, electricity and heat, steel, coal, automobile manufacturing, nonferrous metals and petrochemical industry as research objects and proposes a TOPSIS grey relational projection group decision method with mixed multiattributes, which is used for the ranking of the seven industries with overcapacity and provided relevant departments with a basis for decision-making.Design/methodology/approachFirst, an evaluation index system from four aspects is established. Secondly, the attributes of linguistic information are converted into two-dimensional interval numbers and triangular fuzzy numbers, and an evaluation matrix is constructed and normalized. This paper uses the AHP method to determine the subjective weights and uses the coefficient of variation method to determine the objective weights. Moreover, this paper sets up the optimization model with the largest comprehensive evaluation value to determine the combined weights. Finally, the TOPSIS grey relational projection method is proposed to calculate the closeness of grey relational projections and to rank them.FindingsThis paper analyzes the problem of overcapacity in seven industries with the TOPSIS grey relational projection method. The results show that the four industries of automobile manufacturing, textile, coal and petrochemical are all in serious overcapacity levels, while the three industries of steel, nonferrous metals and electric power are relatively in weak overcapacity level in the three years of 2016–2018. TOPSIS grey relational projection method ranks the overcapacity degree of the seven major overcapacity industries, making the relative overcapacity degree of each industry more clear and providing a reference for the government to formulate targeted policies and measures for each industry.Practical implicationsBy using TOPSIS grey relational projection method to evaluate the overcapacity of the seven major overcapacity industries, on the one hand, it makes the relative overcapacity degree of each industry more clear, on the other hand, it can provides the basis for the government and decision-making departments. This helps them promote better the healthy and orderly economic development of the seven major industries and avoid resource waste caused by overcapacity.Originality/valueThis article solves the single evaluation method caused by the limited indicators in the past, combines TOPSIS and the grey relational projection method and applies it to the overcapacity evaluation of the industry, not only applies it to the evaluation of overcapacity for the first time but also involves novel problems and methods, which expands the scope of application of the model.

scholarly journals Risk Assessment for Failure Mode and Effects Analysis Using the Bonferroni Mean and TODIM Method

Mathematics ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 536 ◽  
Author(s):  
Jianghong Zhu ◽  
Bin Shuai ◽  
Rui Wang ◽  
Kwai-Sang Chin
Keyword(s):  
Risk Assessment ◽  
Failure Mode ◽  
Failure Modes ◽  
Bonferroni Mean ◽  
Psychological Behavior ◽  
Analysis Technique ◽  
Safety And Reliability ◽  
Preference Interdependence ◽  
Fmea Method ◽  
Grey Relational

As a safety and reliability analysis technique, failure mode and effects analysis (FMEA) has been used extensively in several industries for the identification and elimination of known and potential failures. However, some shortcomings associated with the FMEA method have limited its applicability. This study aims at presenting a comprehensive FMEA model that could efficiently handle the preference interdependence and psychological behavior of experts in the process of failure modes ranking. In this model, a linguistic variable expressed by the interval-valued Pythagorean fuzzy number (IVPFN) is utilized by experts to provide preference information with regard to failure modes’ evaluation and risk factors’ weight. Then, to depict the interdependent relationships between experts’ preferences, the Bonferroni mean operator is extended to IVPFN to aggregate the experts’ preference. Subsequently, an extended TODIM approach in which the dominance degree of failure modes is calculated by grey relational analysis is utilized to determine the risk priority of failure modes. Finally, a practical example concerning the risk assessment of a nuclear reheat valve system is provided to demonstrate the effectiveness and feasibility of the presented method. In addition, a sensitivity analysis and comparison analysis are conducted, and the results show that the preference interdependence and psychological behavior of experts have an important effect on the risk priority of failure modes.

Application of improved grey relational projection method to evaluate sustainable building envelope performance

2010 ◽  
Vol 87 (2) ◽  
pp. 710-720 ◽  
Author(s):  
Guozhong Zheng ◽  
Youyin Jing ◽  
Hongxia Huang ◽  
Yuefen Gao
Keyword(s):  
Projection Method ◽  
Building Envelope ◽  
Sustainable Building ◽  
Grey Relational

A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process

2014 ◽  
Vol 77 (1-4) ◽  
pp. 357-368 ◽  
Author(s):  
Behnam Vahdani ◽  
M. Salimi ◽  
M. Charkhchian
Keyword(s):  
Risk Evaluation ◽  
Evaluation Process ◽  
Belief Structure ◽  
Fmea Method
Sign in / Sign up

Export Citation Format

Share Document