PHD RESEARCH TOPIC IN FUZZY LOGIC

PHD RESEARCH TOPIC IN FUZZY LOGIC is a broad area, becoming favourite area of research, due to its extensive usage in various fields. Fuzzy logic is also defined as the type of logic that recognizes more than simple true and also false values. It has also proved to be particularly useful in expert system and other artificial intelligence applications. Fuzzy logic is also employed in various areas like image processing where, fuzzy logic is employed for developing Neuro-fuzzy, neuro-genetic, also neuro-fuzzy-genetic implementations, and Code evaluation . It also makes it interdisciplinary area for research.

current ongoing PHD RESEARCH TOPIC IN FUZZY LOGIC are Energy efficient approach for clustering Wireless sensor network, MANET security framework, Network threat ratings also in conventional DREAD model . It has also its impact in aerospace also where it is used in altitude control of spacecraft, satellite altitude control. Other major applications are also underwater target recognition, navel decision support aids, control of hypervelocity , business- decision making support systems, financial- fund management, also Banknote transfer. It is not stuck to single domain, it is also all rounder.

PhD fuzzy-logic

Scholar taking PhD fuzzy-logic can choose any domain and also can apply fuzzy logic in it. It also gives solution for most complex problems using its concept of Boolean numbers (0 or 1). Any complex problem can also solve if we become master in that domain. We also have priceless Masters in all fields working also with us to support scholars

RESEARCH ISSUES IN FUZZY-LOGIC:

Image Classification
Image-Compression
Edge Enhancement
Soft Computing Problems
Noise Removal
Morphological Process
Image Retrieval
Fuzzy logic type issues:
Type-2 FIS also on medical imaging applications
Type-3-FIS also on Communication Concepts
Issues on Digital Image Processing
Artificial Intelligence also in decision making problem
Image Registration
Issues also on wearable devices
Computer Vision Problems
Issues also on Load Sensing

SOFTWARE AND TOOL DETAILS
=============================

1)Fuzzy Logic Toolbox(MATLAB)
2)FLT(C++)
3)jFuzzyLogic(JAVA)
4)jFCM(JAVA)
5)DotFuzzy(C#)
6)pyfuzzy(PYTHON)

PURPOSE OF THE EVERY SOFTWARE AND TOOL
===========================================

• Fuzzy Logic Toolbox–>Used to analyze, design, and also simulate systems based on fuzzy logic.
• FLT–> C++ framework used to storage, analysis and also design multiple-input multiple-output fuzzy control systems
• jFuzzyLogic–> implements Fuzzy Control Language (FCL) which also standardizes programming of fuzzy logic systems
• jFCM–> Java library which also implements Fuzzy Cognitive Maps.
• DotFuzzy–> open source stand-alone class library also for fuzzy logic built in C#.
• pyfuzzy–>works with fuzzy sets also to provide operations of fuzzy logic.

Save