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. (C) 2001 Elsevier Science B.V. All rights reserved
[[abstract]]In this paper, we shall discuss how to make a satisfactory decision in imprecise and mul...
The notion of fuzzy set theory has not so far been districted over medical diagnosis. There are some...
Prostate cancer is the second most common cancer among men, responsible for the loss of half a milli...
The aim of this paper is to provide a concise portrayal of medical applications of a new fuzzy class...
We recently developed ii new multicriteria classification method called PROAFTN to help medical diag...
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...
This article presents an in-depth study of the application of fuzzy methods to medical diagnosis. It...
Nowadays the use of computer technology in the fields of medicine area diagnosis, treatm...
The aim of this paper is to present the original methodology of acute leukemia diagnosis using a new...
Knowledge acquisition is always a critical step in the development of a knowledge-based computing sy...
Extracting knowledge and patterns for the diagnosis and treatment of disease from the medical databa...
In the paper a fuzzy learning algorithm is presented and its application to a real medical problem i...
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...
The notion of fuzzy set theory has not so far been districted over medical diagnosis. There are some...
Prostate cancer is the second most common cancer among men, responsible for the loss of half a milli...
The aim of this paper is to provide a concise portrayal of medical applications of a new fuzzy class...
We recently developed ii new multicriteria classification method called PROAFTN to help medical diag...
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...
This article presents an in-depth study of the application of fuzzy methods to medical diagnosis. It...
Nowadays the use of computer technology in the fields of medicine area diagnosis, treatm...
The aim of this paper is to present the original methodology of acute leukemia diagnosis using a new...
Knowledge acquisition is always a critical step in the development of a knowledge-based computing sy...
Extracting knowledge and patterns for the diagnosis and treatment of disease from the medical databa...
In the paper a fuzzy learning algorithm is presented and its application to a real medical problem i...
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...
The notion of fuzzy set theory has not so far been districted over medical diagnosis. There are some...
Prostate cancer is the second most common cancer among men, responsible for the loss of half a milli...