Title
Some issues on properties of the extended IOWA operators in fuzzy group decision making
Abstract
Chiclana et al. [Chiclana, F., Herrera-Viedma, E., Herrera, F., Alonso, S. (2007). European Journal of Operational Research 182, 383-399] provided some IOWA operators for aggregating the individual fuzzy preference elations. The aim of this work is further to study their desired properties under group decision making problem with fuzzy preference relations. First, it is proved that the collective preference relations obtained by these cases of IOWA operators verified the reciprocity and the consistency properties. Next, the aggregation of individual judgements (AIJ) and the aggregation of individual priorities (AIP) provide the same priorities of alternatives by utilizing the IOWA operators as aggregation procedure and the row arithmetic mean method (RAMM) as prioritization procedure. Additionally, the Consistency IOWA (C-IOWA) operator guarantees that the group consistency degree is no less than the arithmetic mean of all the individual consistency degree. Finally, two illustrative numerical examples are used to verify the developed approaches.
Year
DOI
Venue
2011
10.1016/j.eswa.2010.12.007
Expert Syst. Appl.
Keywords
Field
DocType
aggregation procedure,iowa operator,consistency iowa,fuzzy preference relation,individual fuzzy preference elation,individual priority,group decision-making,collective preference relation,individual consistency degree,extended iowa operator,consistency property,fuzzy group decision,consistency: iowa operator,individual judgement,group decision making,arithmetic mean,operations research
Data mining,Mathematical economics,Computer science,Arithmetic mean,Fuzzy logic,Prioritization,Operator (computer programming),Reciprocity (social psychology),Artificial intelligence,Novelty,Fuzzy group decision making,Group decision-making
Journal
Volume
Issue
ISSN
38
6
Expert Systems With Applications
Citations 
PageRank 
References 
12
0.51
21
Authors
2
Name
Order
Citations
PageRank
Jian Wu1120.51
Qing-Wei Cao2561.84