The aim of this paper is to provide a concise portrayal of medical applications of a new fuzzy classification method called PROAFTN, which uses a multicriteria decision aid approach. The review summarises and discusses medical applications of the proposed method in acute leukemia, astrocytic and bladder tumours. Although still an investigative method, the preliminary results are very encouraging and demonstrate the potential performances of this procedure for solving medical classification problems. Copyright © 2001 Elsevier Science B.V.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
[[abstract]]In this paper, we shall discuss how to make a satisfactory decision in imprecise and mul...
Background and Objective: Diagnosis as the initial step of medical practice, is one of the most impo...
Lack of information, imprecision, contradictory nature are common facts in medicine. Generally, the...
The aim of this paper is to provide a concise portrayal of medical applications of a new fuzzy class...
We recently developed a new multicriteria classification method called PROAFTN to help medical diagn...
In this paper we introduce a new classification procedure for assigning objects to predefined classe...
We recently developed a new classification method named PROAFTN. This method belongs to the multicri...
Abstract: The paper deals with fuzzy inference systems for multistage recognition based on a decisio...
The aim of this paper is to present the original methodology of acute leukemia diagnosis using a new...
This article presents an in-depth study of the application of fuzzy methods to medical diagnosis. It...
Extracting knowledge and patterns for the diagnosis and treatment of disease from the medical databa...
Knowledge acquisition is always a critical step in the development of a knowledge-based computing sy...
In the paper a fuzzy learning algorithm is presented and its application to a real medical problem i...
Nowadays the use of computer technology in the fields of medicine area diagnosis, treatm...
and obtain appropriate medical knowledge needed by the practitioner/doctors in dealing with each com...
[[abstract]]In this paper, we shall discuss how to make a satisfactory decision in imprecise and mul...
Background and Objective: Diagnosis as the initial step of medical practice, is one of the most impo...
Lack of information, imprecision, contradictory nature are common facts in medicine. Generally, the...
The aim of this paper is to provide a concise portrayal of medical applications of a new fuzzy class...
We recently developed a new multicriteria classification method called PROAFTN to help medical diagn...
In this paper we introduce a new classification procedure for assigning objects to predefined classe...
We recently developed a new classification method named PROAFTN. This method belongs to the multicri...
Abstract: The paper deals with fuzzy inference systems for multistage recognition based on a decisio...
The aim of this paper is to present the original methodology of acute leukemia diagnosis using a new...
This article presents an in-depth study of the application of fuzzy methods to medical diagnosis. It...
Extracting knowledge and patterns for the diagnosis and treatment of disease from the medical databa...
Knowledge acquisition is always a critical step in the development of a knowledge-based computing sy...
In the paper a fuzzy learning algorithm is presented and its application to a real medical problem i...
Nowadays the use of computer technology in the fields of medicine area diagnosis, treatm...
and obtain appropriate medical knowledge needed by the practitioner/doctors in dealing with each com...
[[abstract]]In this paper, we shall discuss how to make a satisfactory decision in imprecise and mul...
Background and Objective: Diagnosis as the initial step of medical practice, is one of the most impo...
Lack of information, imprecision, contradictory nature are common facts in medicine. Generally, the...