Fuzzy eigenvector method for obtaining normalized fuzzy weights from fuzzy pairwise comparison matrices

2017 ◽  
Vol 315 ◽  
pp. 26-43 ◽  
Author(s):  
Jana Krejčí
Keyword(s):  
Pairwise Comparison ◽  
Fuzzy Weights ◽  
Fuzzy Pairwise Comparison

scholarly journals A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 179 ◽  
Author(s):  
Yu-Cheng Wang ◽  
Tin-Chih Chen
Keyword(s):  
Supplier Selection ◽  
Pairwise Comparison ◽  
Selection Problem ◽  
Analytic Hierarchy ◽  
Comparison Results ◽  
Fuzzy Weights ◽  
Partial Consensus ◽  
Hierarchy Process ◽  
Supplier Selection Problem ◽  
Fuzzy Pairwise Comparison

Existing fuzzy analytic hierarchy process (FAHP) methods usually aggregate the fuzzy pairwise comparison results produced by multiple decision-makers (DMs) rather than the fuzzy weights estimations. This is problematic because fuzzy pairwise comparison results are subject to uncertainty and lack consensus. To address this problem, a partial-consensus posterior-aggregation FAHP (PCPA-FAHP) approach is proposed in this study. The PCPA-FAHP approach seeks a partial consensus among most DMs instead of an overall consensus among all DMs, thereby increasing the possibility of reaching a consensus. Subsequently, the aggregation result is defuzzified using the prevalent center-of-gravity method. The PCPA-FAHP approach was applied to a supplier selection problem to validate its effectiveness. According to the experimental results, the PCPA-FAHP approach not only successfully found out the partial consensus among the DMs, but also shrunk the widths of the estimated fuzzy weights to enhance the precision of the FAHP analysis.

scholarly journals Measuring inconsistency and deriving priorities from fuzzy pairwise comparison matrices using the knowledge-based consistency index

2018 ◽  
Vol 162 ◽  
pp. 147-160 ◽  
Author(s):  
Sylvain Kubler ◽  
William Derigent ◽  
Alexandre Voisin ◽  
Jérérmy Robert ◽  
Yves Le Traon ◽  
...  
Keyword(s):  
Pairwise Comparison ◽  
Consistency Index ◽  
Knowledge Based ◽  
Fuzzy Pairwise Comparison

Determination of Weight Values for Assessment Indexes of Engineering Materials Based on Fuzzy Pairwise Comparison Method

2013 ◽  
Vol 680 ◽  
pp. 109-112
Author(s):  
Min Li ◽  
Yu Jun Ma
Keyword(s):  
Low Temperature ◽  
Analytical Hierarchy Process ◽  
Storage Tank ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Thought Pattern ◽  
Engineering Materials ◽  
Hierarchy Process ◽  
Fuzzy Pairwise Comparison

This paper uses fuzzy pairwise comparison method to determine the weight values of assessment indexes of low temperature material of storage tank, which is proposed based on Chinese traditional complementary thought pattern by Chen Shouyu. For the little difference between the results of study by this method mentioned in this paper and analytical hierarchy process, the main reason in essence is given finally.

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