Interval-valued membership function estimation for fuzzy modeling

2019 ◽  
Vol 361 ◽  
pp. 101-113 ◽  
Author(s):  
Moufid Bouhentala ◽  
Mouna Ghanai ◽  
Kheireddine Chafaa
Keyword(s):  
Membership Function ◽  
Fuzzy Modeling ◽  
Function Estimation ◽  
Interval Valued

An Automatic Off-Line Signature Verification and Forgery Detection System

2008 ◽  
pp. 63-89 ◽  
Author(s):  
Vamsi Krishna Madasu ◽  
Brian C. Lovell
Keyword(s):  
Membership Function ◽  
Detection System ◽  
Structural Parameters ◽  
Grid Method ◽  
Fuzzy Modeling ◽  
Signature Verification ◽  
Forgery Detection ◽  
Large Database ◽  
Factors Affecting ◽  
Handwritten Signature

This chapter presents an off-line signature verification and forgery detection system based on fuzzy modeling. The various handwritten signature characteristics and features are first studied and encapsulated to devise a robust verification system. The verification of genuine signatures and detection of forgeries is achieved via angle features extracted using a grid method. The derived features are fuzzified by an exponential membership function, which is modified to include two structural parameters. The structural parameters are devised to take account of possible variations due to handwriting styles and to reflect other factors affecting the scripting of a signature. The efficacy of the proposed system is tested on a large database of signatures comprising more than 1,200 signature images obtained from 40 volunteers.

scholarly journals MBJ-neutrosophic subalgebras and filters in $ BE $-algebras

2022 ◽  
Vol 7 (4) ◽  
pp. 6016-6033
Author(s):  
Rajab Ali Borzooei ◽  
◽  
Hee Sik Kim ◽  
Young Bae Jun ◽  
Sun Shin Ahn ◽  
...  
Keyword(s):  
Membership Function ◽  
Fuzzy Set ◽  
Intuitionistic Fuzzy Set ◽  
Neutrosophic Set ◽  
Neutrosophic Sets ◽  
Intuitionistic Fuzzy ◽  
The Relationship ◽  
Interval Valued

<abstract><p>The concept of a neutrosophic set, which is a generalization of an intuitionistic fuzzy set and a para consistent set etc., was introduced by F. Smarandache. Since then, it has been studied in various applications. In considering a generalization of the neutrosophic set, Mohseni Takallo et al. used the interval valued fuzzy set as the indeterminate membership function because interval valued fuzzy set is a generalization of a fuzzy set, and introduced the notion of MBJ-neutrosophic sets, and then they applied it to BCK/BCI-algebras. The aim of this paper is to apply the concept of MBJ-neutrosophic sets to a $ BE $-algebra, which is a generalization of a BCK-algebra. The notions of MBJ-neutrosophic subalgebras and MBJ-neutrosophic filters of $ BE $-algebras are introduced and related properties are investigated. The conditions under which the MBJ-neutrosophic set can be a MBJ-neutrosophic subalgebra/filter are searched. Characterizations of MBJ-neutrosophic subalgebras and MBJ-neutrosophic filters are considered. The relationship between an MBJ-neutrosophic subalgebra and an MBJ-neutrosophic filter is established.</p></abstract>

Bifuzzy left h-ideals of hemirings with interval-valued membership function

2009 ◽  
Vol 59 (6) ◽  
Author(s):  
Muhammad Akram
Keyword(s):  
Membership Function ◽  
Interval Valued

AbstractIn this paper we apply the concept of interval-valued bifuzzy sets to hemirings. We introduce the notion of interval-valued bifuzzy left h-ideals of hemirings and investigate some of their properties. Using interval-valued bifuzzy left h-ideals, characterizations of Artinian and Noetherian hemirings are established.

A Robust Operator Functional State Fuzzy Modeling Approach Based on EEG Data

2014 ◽  
Vol 556-562 ◽  
pp. 4065-4068
Author(s):  
Shao Zeng Yang ◽  
Jian Hua Zhang
Keyword(s):  
Membership Function ◽  
Functional State ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Crossover Point ◽  
New Approach ◽  
Fuzzy Models ◽  
Eeg Data ◽  
Operator Functional State ◽  
Machine Systems

Operator functional state (OFS) is defined as the time-variable ability that an operator completes his/her assigned tasks. To evaluate the OFS in safety-critical human-machine systems, it is modeled by using the Wang-Mendel-based fuzzy system paradigm in this paper. The fuzzy model is constructed to correlate three EEG features (as model inputs) to the human-machine system performance (as model output). To derive a fuzzy model for real-time OFS assessment, the Gaussian membership function membership crossover point membership gradeδis found to be an essential parameter that controls the robustness of data-driven fuzzy models. The fuzzy models with differentδare applied to the OFS fuzzy modeling. The results have demonstrated that an appropriate value ofδcan be selected to derive robust fuzzy models. Compare with the results obtained by fuzzy models based on symmetric Gaussian membership functions, the new approach based on asymmetric Gaussian membership function leads to considerably improved robustness performance.

scholarly journals Interval-Valued Triangular Neutrosophic Linear Programming Problem

2020 ◽  
pp. 105-115
Author(s):  
admin admin ◽  
◽  
◽  
Said Broumi
Keyword(s):  
Linear Programming ◽  
Programming Problem ◽  
Membership Function ◽  
Linear Programming Problem ◽  
Lower Upper ◽  
Key Factor ◽  
Interval Valued ◽  
Neutrosophic Number

In this paper, we have proposed an Interval-valued triangular neutrosophic number (IV-TNN) as a key factor to solve the neutrosophic linear programming problem. In the present neutrosophic linear programming problem IV-TNN is expressed in lower, upper truth membership function, indeterminacy membership function, and falsity membership function. Here, we try the compare our proposed method with existing methods.

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