Abstract
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 p<sub>2</sub> suffering stomach ulcer p<sub>2</sub> and p<sub>3</sub> patients suffering from typhoid.
Highlights
Nowadays in every field of life, we face some uncertainties such as economics business, medical science, social science, etc
We discuss some basic definitions of fuzzy sets, soft set (SS), fuzzy soft set (FSS), intuitionistic fuzzy sets (IFS), intuitionistic fuzzy soft sets (IFSS), and intuitionistic fuzzy soft matrices (IFSM) with basic operation
IFSM in Medical Analysis Assume S be a set of symptoms of stomach ulcer and typhoid, D is the side effects of diseases associated to these signs, and P be a set of patients characterized the set of signs presenting in the set S, we can get an FSS (, D) over S
Summary
Nowadays in every field of life, we face some uncertainties such as economics business, medical science, social science, etc. In 2001, Maji et al developed a new theory which is known as the fuzzy soft set (FSS) theory by combining the fuzzy set and SS [4] They proposed some basic operations and properties such as intersection, union, complement, and De Morgan laws. The authors discussed FSS and constructed the fuzzy soft matrices with different properties and operations and used for decision making [12, 13]. The authors developed a decision-making method known as the interval-valued fuzzy soft max-min decision-making method and used the interval-valued fuzzy soft matrices for decision making and medical diagnoses [2729]. The author’s discussed IFS with the TOPSIS method and used the Intuitionistic fuzzy TOPSIS method for decision making and medical diagnoses [31, 32]. IFSM is used for disease diagnoses in those patients who suffer from different diseases by using hypothetical data
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