A risk assessment methodology using intuitionistic fuzzy set in FMEA

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

“…Li et al [206] proposed an evidential DEMATEL method for identifying CFSs in emergency management, in which the evaluations of influencing factors expressed in intuitionistic fuzzy numbers (IFNs) were transformed into basic probability assignments (BPAs) and Dempster-Shafer (D-S) theory was used to obtain the group assessment BPA matrix. Chang and Cheng [207] suggested an efficient algorithm which combines IFSs and the DEMATEL to evaluate the risk of failure modes and Chang [208] proposed a risk ranking model integrating soft set theory and the DEMATEL technique for the risk assessment in failure mode and effect analysis (FMEA). Geng and Chu [209] dealt with the uncertainty and vagueness of expert evaluations by using vague sets and presented a revised DEMATEL approach to capture the mutual influence relationships among quality attributes.…”

Developing a risk assessment method for complex pipe jacking construction projects

“…Appendix 1. Linguistic terms and evaluating criteria for input variables O, S, and D (Adapted from [22,23,32,37,38] High(H) Severe influence on project goals such as cost, schedule, and quality. Severe injury to workers and fatality may happen.…”

“…However, in practice, due to the complexity of projects and incomplete information collected for risk analysis, the O, S, and D are difficult to be evaluated exactly. To address this issue, this study uses linguistic terms which are expressed as words instead of numerical values to describe the linguistic variables -O, S, and D. Each linguistic variable can be evaluated by five linguistic terms and in ten different ranks which can provide detailed classification of linguistic variables and were used by many previous studies in FMEA method [22,23,32,37,38]. The interpretations and criteria describing each input linguistic term can be retrieved from Appendix 1.…”

“…Chang et al (1999) integrated fuzzy sets and gray systems theory for FMEA, in which fuzzy linguistic terms were used to value O, S and D, while the gray relational analysis was introduced to produce the risk priority [31]. Chang et al (2010) proposed a method that incorporated the intuitionistic fuzzy set (IFS) and the decision-making trial and evaluation laboratory approach (DEMATEL)for risk evaluation to overcome the limitations of the conventional RPN calculation [32]. described a risk priority model for prioritizing failures in FMEA based on fuzzy evidential reasoning (FER) and belief rule-based (BRB) methods [33], in which the FER method was used to capture the assessment information from FMEA team members and the BRB approach was applied to model the relations between risk factors and corresponding risk grade.…”

Building Evidence the Federal Aviation Administration's UAS Safety Strategy Needs Improvement

“…The task complexity is rooted in many related variables (for example, failure mode one influencing the probability of failure mode two), undefined variables (data not available) and that several possible solutions exist (Pohl, 2006). Human bias within tasks has been recognized and a plethora of techniques adapted from evidence theory, grey theory and fuzzy logic have emerged (Song, Ming, Wu, & Zhu, 2014;Yang, Huang, He, Zhu, & Wen, 2010;Chang, Liu, & Wei, 2001;Chang & Cheng, 2010;Chang, Wei, & Lee, 1999). Recent research has also indicated that our biases and behavior is closely tied to our genetic make-up and the underlying cognitive processes (Forgas, Haselton, & Hippel, 2007).…”