Radiation cystitis is a rare disease, appearing as the result of radiation of pelvic tumors. We support mathematically the recognition of the most efficacious treatments, which reduce the impact of symptoms typical of the illness. To permute the therapies in the ordering, commencing with the optimal therapy, we apply the fuzzy decision making model furnished with finite fuzzy sets. These act as measures of the treatment effectiveness-utility. In the solution, we adopt the older operations on fuzzy sets of type 1, which make the model simple to be easily converted into a computer program.Acceptance rate 15%.</p
It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert variabilit...
Fuzzy set theory has been applied to many fields in which uncertainty is present as, for example, in...
Fuzzy set theory was presented for the first time by Professor Lotfi A. Zadeh from Berkeley Universi...
Radiation cystitis is a rare disease, appearing as the result of radiation of pelvic tumors. We supp...
Radiation cystitis is in general rarely occurring, which makes it very difficult to study in a large...
As we all know the classical set theory has a deep-rooted influence in the traditional mathematics. ...
As we all know the classical set theory has a deep-rooted influence in the traditional mathematics. ...
By proposing a new approach to fuzzy decision making, we try to support the medical decision, concer...
Abstract—Apart from the probabilistic model and the model of 2-tuple linguistic representations, a n...
The paper presents methods of Fuzzy Set Theory which can be a helpful key to medical diagnosis on th...
The classical fuzzy decision-making model is now tested for qualitative compound states-symptoms to ...
Prostate cancer is the second most common cancer among men, responsible for the loss of half a milli...
The classical fuzzy decision-making model is now tested for qualitative compound states-symptoms to ...
It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert variabilit...
It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert variabilit...
It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert variabilit...
Fuzzy set theory has been applied to many fields in which uncertainty is present as, for example, in...
Fuzzy set theory was presented for the first time by Professor Lotfi A. Zadeh from Berkeley Universi...
Radiation cystitis is a rare disease, appearing as the result of radiation of pelvic tumors. We supp...
Radiation cystitis is in general rarely occurring, which makes it very difficult to study in a large...
As we all know the classical set theory has a deep-rooted influence in the traditional mathematics. ...
As we all know the classical set theory has a deep-rooted influence in the traditional mathematics. ...
By proposing a new approach to fuzzy decision making, we try to support the medical decision, concer...
Abstract—Apart from the probabilistic model and the model of 2-tuple linguistic representations, a n...
The paper presents methods of Fuzzy Set Theory which can be a helpful key to medical diagnosis on th...
The classical fuzzy decision-making model is now tested for qualitative compound states-symptoms to ...
Prostate cancer is the second most common cancer among men, responsible for the loss of half a milli...
The classical fuzzy decision-making model is now tested for qualitative compound states-symptoms to ...
It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert variabilit...
It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert variabilit...
It has been often demonstrated that clinicians exhibit both inter-expert and intra-expert variabilit...
Fuzzy set theory has been applied to many fields in which uncertainty is present as, for example, in...
Fuzzy set theory was presented for the first time by Professor Lotfi A. Zadeh from Berkeley Universi...