DocumentCode :
2741897
Title :
Ranking inconsistency among fuzzy, numeric, and cognitive aggregations
Author :
Lin, Hsin-Hui ; Shaw, Wen-Fung
Author_Institution :
Dept. of Inf. Manage., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume :
2
fYear :
1998
fDate :
4-9 May 1998
Firstpage :
927
Abstract :
In traditional surveys, opinions collected from questionnaires are transformed into numeric values. To synthesize the opinions of a group, usually the mean and variance of the numeric ratings are computed. Instead of transforming opinions into numbers, fuzzy set theory represents opinions using fuzzy sets. To synthesize opinions, the fuzzy sets are manipulated by aggregation operators. Both numeric and fuzzy methods are used to produce an abstract model intended to represent human decision. This paper compared three methods: numbers, fuzzy sets, and human cognition, in the aggregation of two opinions, and has found that their orderings are not consistent. Human cognition deviates from the numeric mean in a systematic way. Although fuzzy sets can effectively represent the vagueness of linguistic evaluations, fuzzy aggregation operations fail to capture the behavior of cognitive aggregation of two opinions
Keywords :
aggregation; behavioural sciences; decision theory; fuzzy set theory; aggregation operators; cognitive aggregations; fuzzy aggregation; fuzzy set theory; group; human cognition; human decision; inconsistency; linguistic evaluations; numbers; numeric mean; opinions; vagueness; Cognition; Decision making; Electronic mail; Fuzzy set theory; Fuzzy sets; Humans; Industrial engineering; Information management; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1098-7584
Print_ISBN :
0-7803-4863-X
Type :
conf
DOI :
10.1109/FUZZY.1998.686242
Filename :
686242
Link To Document :
بازگشت