DocumentCode :
420332
Title :
Generalizing Leximin to t-norms and t-conorms
Author :
Yager, Ronald R. ; Walker, C.L. ; Walker, Elbert A.
Author_Institution :
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
Volume :
1
fYear :
2004
fDate :
27-30 June 2004
Firstpage :
343
Abstract :
The Leximin procedure, introduced by Dubois and Prade in 1996, provides a methodology for adjudicating ties in aggregated values when using the min t-norm. Here, with the introduction of the LexiT procedure, we generalize these ideas to provide a tool for adjudicating des when aggregating data using any t-norm. We also provide the LexiS procedure for adjudicating ties when aggregating arguments using t-conorms.
Keywords :
decision making; fuzzy set theory; LexiS procedure; LexiT procedure; Leximin procedure; adjudicating ties; aggregating arguments; aggregating data; decision making; fuzzy set theory; minimum t-norms; t-conorms; triangular norms; Decision making; Educational institutions; Fuzzy set theory; Machine intelligence; Prototypes; Telephony;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
Type :
conf
DOI :
10.1109/NAFIPS.2004.1336305
Filename :
1336305
Link To Document :
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