Now showing items 1-10 of 316
Processamento de conhecimento impreciso combinando raciocínio de ontologias fuzzy e sistemas de inferência fuzzy
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-graduação em Ciência da Computação, 2013-12-13)
In Computer Science, ontologies are used for knowledge representation in a number of applications, aiming to structure and handle domain semantics through models shared by humans and computational systems. Although traditional ...
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization
This paper presents a new methodology for the adjustment of fuzzy inference systems, which uses technique based on error back-propagation method. The free parameters of the fuzzy inference system, such as its intrinsic ...
Tuning of fuzzy inference systems through unconstrained optimization techniques
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...
Development of a water quality index using a fuzzy logic: A case study for the sorocaba river
Due to growing urbanization and industrialization, the environment is suffering from pollution of rivers, degradation of soils and deteriorated air quality. Quality indices appear to be useful to evaluate the conditions ...
A general framework for fuzzy morphological associative memories
(Elsevier Science BvAmsterdamHolanda, 2008)
Power system loading margin estimation using a neuro-fuzzy approach
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2007)
Fuzzy logic approach applied into balanced scorecard
(Springer Verlag, 2018)
In this paper we propose to apply fuzzy logic methodologies for measuring key performance indicator into Balanced Scorecard (BSC) Customer Perspective. This study provide fuzzy key performance indicator (FKPI) to the ...