scholarly journals Fuzzy Matrix for Medical Application

2020 ◽  
Vol 9 (7) ◽  
pp. 333-335
Keyword(s):  
Decision Making ◽  
Membership Function ◽  
Thyroid Disease ◽  
Medical Application ◽  
Disease Diagnosis ◽  
Fuzzy Matrix ◽  
Eye Pain ◽  
Decision Making Problem ◽  
Thyroid Disease Diagnosis ◽  
Is Design

The object of this paper is design a triangular AIFM for thyroid disease diagnosis, by making use of the notion of triangular AIFMs . Further, we extended our approach in the sector of addition and multiplication factors of triangular AIFMsbased on membership and non-membership function. In this work Elevated fever, headache, fatigue, eye pain, swollen are taken as important parameters of thyroid disease diagnosis. Finally, we presented a decision making problem based on one of the operation of triangular AIFMs .

scholarly journals Using k-dependence causal forest to mine the most significant dependency relationships among clinical variables for thyroid disease diagnosis

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0182070 ◽  
Author(s):  
LiMin Wang ◽  
FangYuan Cao ◽  
ShuangCheng Wang ◽  
MingHui Sun ◽  
LiYan Dong
Keyword(s):  
Thyroid Disease ◽  
Disease Diagnosis ◽  
Clinical Variables ◽  
Thyroid Disease Diagnosis

scholarly journals Logarithmic Divergence Measure for Fuzzy Matrix and Application

2021 ◽  
Vol 8 ◽  
pp. 1-20
Author(s):  
Alka Rani ◽  
Omdutt Sharma ◽  
Priti Gupta
Keyword(s):  
Decision Making ◽  
Real Life ◽  
Divergence Measure ◽  
Logarithmic Divergence ◽  
Fuzzy Matrix ◽  
Decision Making Problem ◽  
Fuzzy Divergence

This paper introduces a new divergence measure for a fuzzy matrix with proof of its validity. In addition, the properties are proved for the new fuzzy divergence measure. A method to solve decision making problem is developed by using the proposed fuzzy divergence measure. Finally, the application of this fuzzy divergence measure to decision making is shown using real-life example

An Intelligent Ranking Model for Multi-Criteria Decision Making using Fuzzy Matrix Method

2020 ◽  
Vol 13 ◽  
Author(s):  
Naveen Dahiya ◽  
Pardeep Sangwan
Keyword(s):  
Decision Making ◽  
Matrix Method ◽  
Multi Criteria Decision Making ◽  
Efficient Manner ◽  
Fuzzy Matrix ◽  
Human Thought ◽  
Quantitative Form ◽  
Fuzzy Aggregation ◽  
Decision Making Problem ◽  
Fuzzy Linguistic

Background: In the daily life, one may encounter several problems whose solution is based on the consideration of several criteria altogether. To generate a solution for such problems is in fact a complex task. If one generates a solution, then there is no guarantee that the solution is optimal. It is really challenging to take into account all the criteria at the same time and generate a solution that is optimal. Several techniques have been proposed to solve multi-criteria decision making problems. Methods: In this paper, we propose an intelligent solution to multi criteria decision making problem by means of fuzzy aggregation using matrix method. The proposed method finds application in solving such problems where the criteria are defined in qualitative form (fuzzy linguistic variables) rather than in quantitative form (crisp). A novel application of the proposed approach to rank the employees in an organization is presented in the paper. Results: The proposed method is empirically validated by applying it to find the best employee in a institute of repute. Data collection is done in real time to prove the utilization of proposed approach in a efficient manner. Conclusion: The results obtained after application of proposed method to rank the employees are realistic as it takes into consideration the ambiguity involved in human thought process.

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