Search results for "fuzzy"

Comparison between statistical and fuzzy approaches for improving diagnostic decision making in patients with chronic nasal symptoms

2014

This paper compares a fuzzy model, expressed in rule-form, with a well known statistical approach (i.e. logistic regression model) for diagnostic decision making in patients with chronic nasal symptoms. The analyses were carried out using a database obtained from a questionnaire administered to 1359 patients with nasal symptoms containing personal data, clinical data and skin prick test (SPT) results. Both the fuzzy model and the logistic regression model developed were validated using a data set obtained from another medical institution. The accuracy of the two models in identifying patients with positive or negative SPT was similar. This study is a preliminary step to the creation of a so…

Clinical support in radiation therapy scenarios: MR brain tumor segmentation using an unsupervised fuzzy C-Means clustering technique

2016

Returns to Childbirth Technologies: Evidence from Preterm Births

2013

We investigate the impact of obstetrician supervision, as opposed to midwife supervision, on the short-term health of low-risk newborns. We exploit a unique policy rule in the Netherlands that creates a large discontinuity in the probability of a low-risk birth being attended by an obstetrician at gestational week 37. Using a fuzzy regression discontinuity design, we consistently find no health benefits from obstetrician supervision, despite increased rates of neonatal intensive care unit admissions among births supervised by obstetricians. These results indicate potential cost savings from increased use of midwifery care for low-risk deliveries.

NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique

2017

Stereotactic neuro-radiosurgery is a well-established therapy for intracranial diseases, especially brain metastases and highly invasive cancers that are difficult to treat with conventional surgery or radiotherapy. Nowadays, magnetic resonance imaging (MRI) is the most used modality in radiation therapy for soft-tissue anatomical districts, allowing for an accurate gross tumor volume (GTV) segmentation. Investigating also necrotic material within the whole tumor has significant clinical value in treatment planning and cancer progression assessment. These pathological necrotic regions are generally characterized by hypoxia, which is implicated in several aspects of tumor development and gro…

Prostate Cancer Segmentation from Multiparametric MRI Based on Fuzzy Bayesian Model

2014

International audience

Valutazione multicriteriale del saggio di capitalizzazione per la revisione del catasto degli immobili urbani - Capitalization rate multidimensional …

2013

The new revision of the land register is intended to give each real estate unit an assessed value which approximates the market value. The provided approach has statistical nature. However, in the absence of a well-established market, the coming reform requires the use of the indirect estimation procedure.This paper proposes a method for estimating the capitalization rate that could usefully be applied in mass appraisal. The proposed model for the evaluation of the capitalization rate is intended as an alternative to traditional inferential processes that apply in real estate market. It can be used even in market segments that are not enough active and does not require the use of technical …

Sistemi di intelligenza artificiale e logica Fuzzy,moderni ausili per la Medicina orale

2008

Assessing the profitability of investment projects using ordered fuzzy numbers

2019

Background: This article is motivated by the fact that most approaches to capital budgeting are deterministic. In reality, the capital budgeting problem is accompanied by the uncertainty and risk associated with dealing with imprecise data. Taking this uncertainty into account when performing analyses and calculations not only helps to better measure the profitability of investment projects, but also to expand the applicability of capital budgeting methods under real-life or uncertain conditions. The major contribution of this paper is the development of a novel approach to assessing the profitability of an investment project in the presence of uncertainty. Methods: We present a novel appro…

Szacowanie czasu realizacji projektu przy nieprecyzyjnych zmiennych

2017

The paper presents the essence and significance of the project time estimation under uncertainty and risk using ordered fuzzy numbers. The proposed approach is based on a fuzzy model of uncertainty using ordered fuzzy numbers as imprecise data – duration times. The presented extended critical path method is a new approach that has not been presented so far in the literature of the subject. The authors present the implementation of the approach on an example. The advantages of the proposed approach have been outlined in the paper. The proposed approach can find practical applications in decision-making problems under conditions of risk and uncertainty, supporting decision-makers in the plann…

A fuzzy approach to multidimensional material deprivation measurement: the case of foreigners living in Italy

2014

This paper provides a new approach to the measurement of multidimensional material deprivation, based on partial order theory and on fuzzy set measurement. The main feature of the methodology is that the information needed for the deprivation assessment is extracted directly from the relational structure of the dataset, avoiding any kind of scaling and not proper aggregation procedure, so as to respect the measurement level of the data. An empirical illustration, using data from a special EU-SILC survey on migrants in Italy, provides a new insight on the material deprivation of foreigners living in Italy