Abstract
Pythagorean Fuzzy Preference Relations (PFPRs) have been considered in recent literature more powerful and flexible than the popular intuitionistic fuzzy preference relation in dealing with the linguistic imprecision for decision makers in the large scale group decision making. Following on this promising trend, a novel approach based on the PFPRs is proposed for decision support. In particular, the proposed work starts with the acquisition of the optimal comparison matrices, which essentially record the pairwise comparison of the alternatives from the positive and negative opinions. The proposed consensus reaching process is then utilised to guide the decision makers to revise the provided information in order to reach the overall group consensus, before the derivation of rankings of the alternatives. Experimental studies are provided to demonstrate the workings and effectiveness of the proposed approach in comparison with two state-of-the-art methods.
Original language | English |
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Title of host publication | 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 9781728169323 |
ISBN (Print) | 9781728169330 |
DOIs | |
Publication status | Published - Jul 2020 |
Event | 2020 IEEE International Conference on Fuzzy Systems - Held virtually (rather than Glasgow) due to COVID-19, United Kingdom Duration: 19 Jul 2020 → 24 Jul 2020 https://wcci2020.org/ |
Publication series
Name | IEEE International Fuzzy Systems conference proceedings |
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Publisher | IEEE |
ISSN (Print) | 1544-5615 |
ISSN (Electronic) | 1558-4739 |
Conference
Conference | 2020 IEEE International Conference on Fuzzy Systems |
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Abbreviated title | FUZZ-IEEE |
Country/Territory | United Kingdom |
Period | 19/07/20 → 24/07/20 |
Internet address |