International Journal of Discrete Mathematics
Volume 5, Issue 1, June 2020, Pages: 4-9
Received: Aug. 27, 2020;
Accepted: Sep. 18, 2020;
Published: Sep. 30, 2020
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Rana Muhammad Zulqarnain, School of Mathematics, Northwest University, Xi’an, China
Muhammad Saeed, School of Science, Department of Mathematics, University of Management and Technology, Lahore, Pakistan
Muhammad Irfan Ahamad, College of Urban and Environmental Sciences, Northwest University, Xi’an, China
Sohaib Abdal, School of Mathematics, Northwest University, Xi’an, China
Zeeshan Zafar, College of Urban and Environmental Sciences, Northwest University, Xi’an, China
Muhammad Aslam, School of World History and Middle East Studies, Northwest University, Xian, China
Decision Making is the best procedure to choose a superlative alternative from all feasible alternatives. Almost in all other issues, the overall number of criteria because decision making the general alternatives is pervasive. Nowadays decision making is a critical problem in every field of life. In some cases, we must deliberate membership unbiassed as the non- membership values for the suitable representation of an object in uncertain and indeterminate conditions that could not be handled by fuzzy sets nor by interval-valued fuzzy sets. To overcome these difficulties the notion of Intuitionistic fuzzy sets has been presented. In this paper, we study some basic concepts of fuzzy sets, soft sets, fuzzy soft sets, intuitionistic fuzzy sets, intuitionistic soft sets, intuitionistic fuzzy soft sets (IFSS), and intuitionistic fuzzy soft matrices (IFSM). Finally, in this research, we use the IFSM for disease diagnoses in patients who suffer from different diseases such as stomach ulcer and typhoid by using hypothetical data we conclude that patient p2 suffering stomach ulcer p2 and p3 patients suffering from typhoid.
Rana Muhammad Zulqarnain,
Muhammad Irfan Ahamad,
Application of Intuitionistic Fuzzy Soft Matrices for Disease Diagnosis, International Journal of Discrete Mathematics.
Vol. 5, No. 1,
2020, pp. 4-9.
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