A system for medical diagnosis based on intuitionistic fuzzy relation
dc.contributor.author | Ismat Beg | |
dc.contributor.author | Tabasam Rashid | |
dc.date.accessioned | 2016-10-04T12:44:53Z | |
dc.date.available | 2016-10-04T12:44:53Z | |
dc.date.issued | 2015 | |
dc.description.abstract | The aim of this paper is to propose a new approach for medical diagnosis by using trapezoidal valued intuitionistic fuzzy relations. First, we develop trapezoidal valued intuitionistic fuzzy relations and then use it to solve medical diagnosis decision making problem. We study Sanchez’s method of medical diagnosis with the notion of trapezoidal valued intuitionistic fuzzy sets. To further elaborate our method an example of medical diagnosis is given assuming that there is a database, i.e. description of a set of symptoms and a set of diagnoses. | en_US |
dc.identifier.citation | Beg, I., & Rashid, T. (2015). A system of medical diagnosis based on intuitionistic fuzzy relation. Notes on Intuitionistic Fuzzy Sets, 21(3), 80-89 | en_US |
dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/2003 | |
dc.publisher | Notes on Intuitionistic Fuzzy Sets | en_US |
dc.subject | Medical diagnosis | en_US |
dc.subject | Fuzzy set | en_US |
dc.subject | Intuitionistic relation | en_US |
dc.title | A system for medical diagnosis based on intuitionistic fuzzy relation | en_US |
dc.type | Article | en_US |