Mediative fuzzy logic: a new approach for contradictory knowledge management

Authors:
Oscar Montiel;Oscar Castillo;Patricia Melin;Roberto Sepulveda
Affiliations:
CITEDI-IPN, Av. del Parque#1310, Mesa de Otay Tijuana, BC, Mexico;Tijuana Institute of Technology, Department of Computer Science, P.O. Box 4207, Av. del Parque#1310, 91909, Chula Vista, CA, USA;Tijuana Institute of Technology, Department of Computer Science, P.O. Box 4207, Av. del Parque#1310, 91909, Chula Vista, CA, USA;CITEDI-IPN, Av. del Parque#1310, Mesa de Otay Tijuana, BC, Mexico
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on BISCSE 2005 " Forging the Frontiers" Part II
Year:
2007

Citing 0
Cited 4

Modelling of web domain visits by IF-inference system

WSEAS Transactions on Computers
IF-inference systems design for prediction of ozone time series: the case of pardubice micro-region

ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Time series prediction of web domain visits by IF-inference system

ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume I
Local sustainable development modelling by hierarchical IF-inference systems

ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume I

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we are proposing a novel fuzzy method that can handle imperfect knowledge in a broader way than Intuitionistic (in the sense of Atanassov) fuzzy logic does (IFL). This fuzzy method can manage non- contradictory, doubtful, and contradictory information provided by experts, providing a mediated solution, so we called it Mediative Fuzzy Logic (MFL). We are comparing results of MFL, with IFL and traditional Fuzzy logic (FL).