Results 161 to 170 of about 16,696 (208)

Fuzzification of Spiked Neural Networks

2008 Second UKSIM European Symposium on Computer Modeling and Simulation, 2008
Biological systems are slow, wide and messy whereas computer systems are fast, deep and precise. Fuzzy neural networks use fuzzy logic to implement higher level reasoning and incorporate expert knowledge into the system while neural networks deal with the low level computational structures capable of learning and adaptation.
David C. Reid, Maybin K. Muyeba
openaire   +1 more source

On fuzzification of propositional logics

Fuzzy Sets and Systems, 1999
The paper elaborates the idea of fuzzifying arbitrary crisp logics. The author proposes two different procedures. Due to the first one, the language of the propositional logic \(L\) is extended by a family of unary propositional operators and \(L\) is extended by the list of axioms related to the basic properties of the measure of fuzziness.
openaire   +2 more sources

A Method for the Fuzzification of Categorical Variables

2006 IEEE International Conference on Fuzzy Systems, 2006
Besides the numeric variables which are common in fuzzy modeling, some variables involved in the description of specific behaviors are categorical. Such variables are discrete, have no order a-priori, and most of the time handle a large amount of values (e.g., genes, proteins, countries, religions, etc.).
Etienne Jodoin, Carlos Andrés Peña-Reyes, Eduardo Sanchez   +2 more
openaire   +1 more source

On fuzzification of matroids

Fuzzy Sets and Systems, 1993
The fuzzification of matroids is studied and a method for doing so is proposed. Different results from matroid theory are stated and fuzzy analogs are defined. A theorem establishes the existence of bases in a fuzzy preindependence space (fpis) and properties of its fuzzy cardinality. Then a fuzzy matroid (fm) is defined on a finite set of a fpis.
openaire   +2 more sources

A new approach to the fuzzification of groups

Journal of Intelligent & Fuzzy Systems, 2019
In the present paper we present a new approach to the fuzzification of groups, which is defined by the hazy associative law (a new fuzzy associative law) on hazy binary operations. It is also called an M -hazy group.
Qi Liu 0021, Fu-Gui Shi
openaire   +1 more source

A Fuzzification of the Relational Data Model

Database Systems for Advanced Applications '93, 1993
Expression and processing of vagueness, which has many real world applications, is not handled effectively in the conventional relational model. In this paper we investigate a fuzzy extension to the relational data model and propose three fuzzy relational query languages.
Doheon Lee, Myoung-Ho Kim, Hyung Lee-Kwang, Yoon-Joon Lee   +3 more
openaire   +1 more source

Fuzzification Technique for Candidate Rating and Selection

International Journal of Decision Support System Technology, 2022
The traditional ways of candidate selection and recruitment are prone to subjectivity, imprecision and vagueness. With a view to achieving objective and precise selection and recruitment while keeping up with technological improvement and changes, this paper discusses a fuzzification-based technique for candidate rating and selection.
Iwasokun Gabriel Babatunde, Ayowole Oluwatayo Idowu, Bamidele Moses Kuboye   +2 more
openaire   +1 more source

Retrieving information by fuzzification of queries

Journal of Intelligent Information Systems, 1993
The basic structure of an intelligent inquiring system is described. We discuss the process of generalization of requirements based on the use of fuzzy subsets. The concept of importance modification is introduced. A description of the construction of the envelope of potentially relevant items is presented.
Ronald R. Yager, Henrik Legind Larsen
openaire   +1 more source

Fuzzification of crisp domains

Kybernetika, 2010
This paper discusses the transition from classical probability theory to fuzzy probability theory. The first part deals with discrete probability spaces and a simple transportation problem. It illustrates some fundamental constructions of fuzzy probability theory.
Roman Fric, Martin Papco
openaire   +2 more sources

Operator Method of Fuzzification

2000
This paper presents a contribution to elaboration of theoretical methods of fuzzification. This is a very important problem, which was so far tackled from the side of probability and/or metric (topological) methods. A new method based on Hermit's operators of quantum mechanics is proposed in this paper.
openaire   +1 more source