Consensus building in a local context for the AHP-GDM with the individual numerical scale and prioritization method

Dong, Yucheng, Fan, Zhi-Ping and Yu, Shui 2015, Consensus building in a local context for the AHP-GDM with the individual numerical scale and prioritization method, IEEE transactions on fuzzy systems, vol. 23, no. 2, pp. 354-368, doi: 10.1109/TFUZZ.2014.2312974.

Attached Files
Name Description MIMEType Size Downloads

Title Consensus building in a local context for the AHP-GDM with the individual numerical scale and prioritization method
Author(s) Dong, Yucheng
Fan, Zhi-Ping
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Journal name IEEE transactions on fuzzy systems
Volume number 23
Issue number 2
Start page 354
End page 368
Total pages 15
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2015-04
ISSN 1063-6706
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Computer Science
Engineering
Analytic hierarchy process (AHP)
consensus
group decision making (GDM)
numerical scale
prioritization method
2-tuple linguistic representation model
GROUP DECISION-MAKING
ANALYTIC HIERARCHY PROCESS
LINGUISTIC PREFERENCE RELATIONS
SUPPORT-SYSTEM
AGGREGATION OPERATORS
REPRESENTATION MODEL
PROGRAMMING METHOD
PRIORITY VECTORS
INFORMATION
CONSISTENCY
Summary The methodology for selecting the individual numerical scale and prioritization method has recently been presented and justified in the analytic hierarchy process (AHP). In this study, we further propose a novel AHP-group decision making (GDM) model in a local context (a unique criterion), based on the individual selection of the numerical scale and prioritization method. The resolution framework of the AHP-GDM with the individual numerical scale and prioritization method is first proposed. Then, based on linguistic Euclidean distance (LED) and linguistic minimum violations (LMV), the novel consensus measure is defined so that the consensus degree among decision makers who use different numerical scales and prioritization methods can be analyzed. Next, a consensus reaching model is proposed to help decision makers improve the consensus degree. In this consensus reaching model, the LED-based and LMV-based consensus rules are proposed and used. Finally, a new individual consistency index and its properties are proposed for the use of the individual numerical scale and prioritization method in the AHP-GDM. Simulation experiments and numerical examples are presented to demonstrate the validity of the proposed model.
Language eng
DOI 10.1109/TFUZZ.2014.2312974
Field of Research 080109 Pattern Recognition and Data Mining
0801 Artificial Intelligence And Image Processing
0906 Electrical And Electronic Engineering
0102 Applied Mathematics
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082071

Document type: Journal Article
Collections: School of Information Technology
2018 ERA Submission
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 27 times in TR Web of Science
Scopus Citation Count Cited 35 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 206 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Thu, 10 Mar 2016, 11:19:48 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.