Intuitionistic fuzzy approach for enhancement of low contrast mammogram images

2020 ◽  
Vol 30 (4) ◽  
pp. 1162-1172
Author(s):  
Tamalika Chaira
Keyword(s):  
Fuzzy Approach ◽  
Low Contrast ◽  
Intuitionistic Fuzzy ◽  
Mammogram Images

Intuitionistic Fuzzy Approach to Enhance Text Documents

2006 ◽  
Author(s):  
Jayanthi Kuppannan ◽  
Parvathi Rangasamy ◽  
Devi Thirupathi ◽  
N. Palaniappan
Keyword(s):  
Fuzzy Approach ◽  
Text Documents ◽  
Intuitionistic Fuzzy

A model for failure mode and effects analysis based on intuitionistic fuzzy approach

2016 ◽  
Vol 49 ◽  
pp. 238-247 ◽  
Author(s):  
Hossein Sayyadi Tooranloo ◽  
Arezoo sadat Ayatollah
Keyword(s):  
Failure Mode ◽  
Fuzzy Approach ◽  
Intuitionistic Fuzzy

scholarly journals Hydrogen Production Technologies Evaluation Based on Interval-Valued Intuitionistic Fuzzy Multiattribute Decision Making Method

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Dejian Yu
Keyword(s):  
Decision Making ◽  
Hydrogen Production ◽  
Intuitionistic Fuzzy Set ◽  
Aggregation Operators ◽  
Clear Understanding ◽  
Fuzzy Approach ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Aggregation ◽  
Production Technologies ◽  
Interval Valued

We establish a decision making model for evaluating hydrogen production technologies in China, based on interval-valued intuitionistic fuzzy set theory. First of all, we propose a series of interaction interval-valued intuitionistic fuzzy aggregation operators comparing them with some widely used and cited aggregation operators. In particular, we focus on the key issue of the relationships between the proposed operators and existing operators for clear understanding of the motivation for proposing these interaction operators. This research then studies a group decision making method for determining the best hydrogen production technologies using interval-valued intuitionistic fuzzy approach. The research results of this paper are more scientific for two reasons. First, the interval-valued intuitionistic fuzzy approach applied in this paper is more suitable than other approaches regarding the expression of the decision maker’s preference information. Second, the results are obtained by the interaction between the membership degree interval and the nonmembership degree interval. Additionally, we apply this approach to evaluate the hydrogen production technologies in China and compare it with other methods.

To Design a Mammogram Edge Detection Algorithm Using an Artificial Neural Network (ANN)

2022 ◽  
pp. 340-349
Author(s):  
Alankrita Aggarwal ◽  
Deepak Chatha
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Edge Detection ◽  
Early Stage ◽  
Detection Algorithm ◽  
Low Contrast ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Mammogram Images ◽  
Tumor Area

An artificial neural network (ANN) is used to resolve problems related to complex scenarios and logical thinking. Nowadays, a cause for concern is the mortality rate among women due to cancer. Generally, women to around 45 years old are the most vulnerable to this disease. Early detection is the only hope for the patient to survive, otherwise it may reach an unrecoverable stage. Currently, there are numerous techniques available for the diagnosis of such diseases out of which mammography is the most trustworthy method for detecting early stage cancer. The analysis of these mammogram images is always difficult to analyze due to low contrast and non-uniform background. The mammogram images are scanned, digitized for processing, nut that further reduces the contrast between region of interest (ROI) and the background. Furthermore, presence of noise, glands, and muscles leads to background contrast variations. The boundaries of the suspected tumor area are always fuzzy and improper. The aim of this article is to develop a robust edge detection technique which works optimally on mammogram images to segment a tumor area.

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