ISSN: 1683-3198
|
e-ISSN: 2309-4524
|
DOI: 10.34028/iajit
Submit your Paper
Track your Paper
The International Arab Journal of Information Technology
(IAJIT)
Home
Aims and Scopes
About IAJIT
Current Issue
Archives
Submission
Announcement
Indexing
Contact Us
Home
/
Search for: Fuzzy inference
Editorial Board
Technical Committee
Instruction to Authors
Article Processing Charges
Submit your Paper
Track your Paper
Review Paper
Instructions to Reviewers
Statistics
A Fuzzy Decision System for Providing Emotional Support to College Students via Customization
Guoan Liu,Zumeng Wang,Peihua Xu,Heung Kou
#Fuzzy multicriteria decision-making
#emotional support
#customization
#mamdani fuzzy inference
Improving Student Engagement in College Education with Fuzzy Control Algorithm
Yan Chen
#Fuzzy controller
#mamdani fuzzy inference system
#adaptive control
#modified salp swarm
#engagement level
Analyzing Sentiments using Optimized Novel Ensemble Fuzzy and DL based Approach with Efficient Feature Selection and Extraction Models
Potu Bharath,Dasari Venkata Lakshmi
#Sentiment analysis
#deep convolutional fuzzy neural network
#multilayer stacked bidirectional LSTM neural network inception-ResNet-V2
#enhanced reptile search algorithm
#Al-Biruni earth radius optimization algorithm
Fuzzy Heuristics for Detecting and Preventing Black Hole Attack
Elamparithi Pandian,Ruba Soundar,Shenbagalakshmi Gunasekaran,Shenbagarajan Anantharajan
#Mobile Ad-hoc networks
#fuzzy inference system
#trust value
#black hole attack
#node authentication
#certificate authority
Application of Intelligent Adaptive Neuro Fuzzy Method for Reusability of Component Based Software System
Jyoti Agarwal,Manoj Kumar,Mugdha Sharma,Deepak Verma,Richa Sharma
#Component
#reusability
#software
#fuzzy
#ANFIS
#interface complexity
#understandability
#customizability
#reliability
Faculty of Science, Computer Information Systems De partment, Bethlehem University, Palestine
# Brain-Computer interface
# ANFIS algorithm
# fuzzy l ogic
# electroencephalogram
Enhanced Hybrid Prediction Models for Time Series Prediction
as artificial neural networks are considered to be better for prediction of data with non-linear patterns. In the real-life, time-
#Hybrid model
# adaptive neuro-fuzzy inference systems
# soft computing
# neural network
# statistical techniques
Fuzzy Inference Modeling Methodology for the Simulation of Population Growth
#Fuzzy inference
#modeling
#simulation
#population growth
#defuzzification
All Rights reserved to IAJIT 2026
Powered by:
TurnPoint
