Dynamic Agent Evaluation Using Intuitionistic Fuzzy TOPSIS

Libo Zhang, Jiubing Liu, Bing Huang, Huaxiong Li, Xianzhong Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

A novel dynamic intuitionistic fuzzy TOPSIS method is proposed to evaluate the agents when the expert evaluation values are Intuitionistic Fuzzy Numbers (IFNs). Similar to Positive Ideal Solution (PIS) in traditional TOPSIS, Positive Ideal Agent (PIA) is an ideal agent which achieves the best values in all the expert evaluations. Negative Ideal Agent (NIA) is the worst in every expert's evaluation. Then agent similarity to PIA and that to NIA are calculated. The relative ideal closeness of each agent is defined as a combination of the corresponding two similarities, which indicates the agent's relative capabilities. To deal with varied numbers of agents and experts, the update mechanisms are presented. A numerical example demonstrates the validity of our approach.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018
EditorsWeiming Shen, Junzhou Luo, Jean-Paul Barthes, Fang Dong, Jinghui Zhang, Haibin Zhu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages407-413
Number of pages7
ISBN (Print)9781538614822
DOIs
Publication statusPublished - 13 Sept 2018
Externally publishedYes
Event22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018 - Nanjing, China
Duration: 9 May 201811 May 2018

Publication series

NameProceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018

Conference

Conference22nd IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2018
Country/TerritoryChina
CityNanjing
Period9/05/1811/05/18

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