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Decision making by the values of generalized average fuzzy functions
Author(s) -
Natalja Kosareva,
Aleksandras Krylovas
Publication year - 2012
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.b.2012.16
Subject(s) - mathematics , ranking (information retrieval) , operator (biology) , fuzzy number , fuzzy logic , point (geometry) , exponent , type 2 fuzzy sets and systems , discrete mathematics , mathematical optimization , fuzzy set , computer science , artificial intelligence , biochemistry , linguistics , geometry , philosophy , repressor , transcription factor , gene , chemistry
Notions of point, interval and triangular intuitionistic fuzzy numbers are introduced. The generalized weighted averaging operator is used for solving multiple criteria decision making problems. Monte Carlo study was conducted with the aim to establish for which types of intuitionistic fuzzy numbers and which exponent values of weighted generalized average operator probabilities of alternatives ranking errors are the least.

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