Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision-making trial and evaluation laboratory

2014 ◽  
Vol 28 (7) ◽  
pp. 701-714 ◽  
Author(s):  
Hu-Chen Liu ◽  
Jian-Xin You ◽  
Qing-Lian Lin ◽  
Hui Li
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Weighted Average ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Fuzzy Weighted Average

scholarly journals Spherical Fuzzy Logarithmic Aggregation Operators Based on Entropy and Their Application in Decision Support Systems

Entropy ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 628 ◽  
Author(s):  
Yun Jin ◽  
Shahzaib Ashraf ◽  
Saleem Abdullah
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Group Decision ◽  
Weighted Average ◽  
Fuzzy Decision Making ◽  
Practical Case ◽  
Fuzzy Decision ◽  
Comparison Analysis ◽  
Fuzzy Weighted Average ◽  
Novel Method

Keeping in view the importance of new defined and well growing spherical fuzzy sets, in this study, we proposed a novel method to handle the spherical fuzzy multi-criteria group decision-making (MCGDM) problems. Firstly, we presented some novel logarithmic operations of spherical fuzzy sets (SFSs). Then, we proposed series of novel logarithmic operators, namely spherical fuzzy weighted average operators and spherical fuzzy weighted geometric operators. We proposed the spherical fuzzy entropy to find the unknown weights information of the criteria. We study some of its desirable properties such as idempotency, boundary and monotonicity in detail. Finally, the detailed steps for the spherical fuzzy decision-making problems were developed, and a practical case was given to check the created approach and to illustrate its validity and superiority. Besides this, a systematic comparison analysis with other existent methods is conducted to reveal the advantages of our proposed method. Results indicate that the proposed method is suitable and effective for the decision process to evaluate their best alternative.

scholarly journals A novel fuzzy risk matrix based risk assessment approach

Kybernetes ◽  
2018 ◽  
Vol 47 (9) ◽  
pp. 1721-1751 ◽  
Author(s):  
Gülin Feryal Can ◽  
Pelin Toktas
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Dynamic Structure ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Risk Matrix ◽  
Content Type ◽  
Second Stage ◽  
Third Stage ◽  
Assessment Approach

Purpose Traditional risk assessment (RA) methodologies cannot model vagueness in risk and cannot prioritize corrective-preventive measures (CPMs) by considering effectiveness of those on risk types (RTs). These cannot combine and reflect accurately different subjective opinions and cannot be used in a linguistic manner. Risk factors (RFs) are assumed to have the same importance and interrelations between RFs are not considered. This study aims to overcome these disadvantages by combining fuzzy logic with multi-criteria decision-making in a dynamic manner. Design/methodology/approach This study proposes a novel three-stage fuzzy risk matrix-based RA integrating fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) and fuzzy multi-attributive border approximation area comparison (F-MABAC). At the first stage, importance weights of RFs are computed by F-DEMATEL. At the second stage, risk degrees of RTs are computed via using fuzzy risk matrix. At the third stage, CPMs are ranked by F-MABAC. Finally, a numerical example for RA in a warehouse is given. Findings Results show that developing instructions for material loading or unloading is the most important CPM and severity is the most important RF for the warehouse. Originality/value This study has originality in terms of having fuzzy dynamic structure. At first, RFs are assumed to be criteria sets then, RTs are assumed to be criteria set considering their risk degrees to rank CPMs in a fuzzy manner. Risk degrees of RTs are used for weights of RTs and effectiveness of CPMs are used for performance values of CPMs.

INTUITIONISTIC FUZZY DECISION-MAKING WITH SIMILARITY MEASURES AND OWA OPERATOR

2013 ◽  
Vol 21 (02) ◽  
pp. 245-262 ◽  
Author(s):  
WEIHUA SU ◽  
YONG YANG ◽  
CHONGHUI ZHANG ◽  
SHOUZHEN ZENG
Keyword(s):  
Decision Making ◽  
Similarity Measures ◽  
Weighted Average ◽  
Fuzzy Decision Making ◽  
Practical Case ◽  
Owa Operator ◽  
Fuzzy Decision ◽  
Consensus Analysis ◽  
Intuitionistic Fuzzy ◽  
Wide Range

In this paper, we present a new intuitionistic fuzzy decision-making technique based on similarity measures and the ordered weighted average (OWA) operator. We develop the intuitionistic fuzzy ordered weighted similarity (IFOWS) measure. The main advantage of the IFOWS measure is that it can alleviate the influence of unduly large (or small) deviations on the aggregation results by assigning them low (or high) weights. Moreover, it provides a very general formulation that includes a wide range of aggregation similarity measures and aggregates the input arguments taking the form of intuitionistic fuzzy values rather than exact numbers. We further develop the interval-valued intuitionistic fuzzy ordered weighted similarity (IVIFOWS) measure. Then we apply the developed similarity measures for consensus analysis in group decision-making with intuitionistic fuzzy information. Finally, a practical case is used to illustrate the developed procedures.

Dual hesitant fuzzy decision making in optimization models

2021 ◽  
Vol 154 ◽  
pp. 107103
Author(s):  
Fanyong Meng ◽  
Jie Tang ◽  
Witold Pedrycz
Keyword(s):  
Decision Making ◽  
Optimization Models ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision
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