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

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 con...

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Main Authors: Yu-Cheng Wang, Tin-Chih Toly Chen
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/7/2/179
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author Yu-Cheng Wang
Tin-Chih Toly Chen
author_facet Yu-Cheng Wang
Tin-Chih Toly Chen
author_sort Yu-Cheng Wang
collection DOAJ
description 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.
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spelling doaj.art-8413ad90fd7f4e8f8b54bdf858f1b37e2022-12-21T19:49:32ZengMDPI AGMathematics2227-73902019-02-017217910.3390/math7020179math7020179A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an ExampleYu-Cheng Wang0Tin-Chih Toly Chen1Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung 41349, TaiwanDepartment of Industrial Engineering and Management, National Chiao Tung University, 1001, University Road, Hsinchu 300, TaiwanExisting 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.https://www.mdpi.com/2227-7390/7/2/179fuzzy analytic hierarchy processdecision-makingpartial consensusposterior aggregation
spellingShingle Yu-Cheng Wang
Tin-Chih Toly Chen
A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example
Mathematics
fuzzy analytic hierarchy process
decision-making
partial consensus
posterior aggregation
title A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example
title_full A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example
title_fullStr A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example
title_full_unstemmed A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example
title_short A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example
title_sort partial consensus posterior aggregation fahp method supplier selection problem as an example
topic fuzzy analytic hierarchy process
decision-making
partial consensus
posterior aggregation
url https://www.mdpi.com/2227-7390/7/2/179
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