Search results for "Fuzzy Logic."
showing 9 items of 449 documents
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
Prostate Cancer Segmentation from Multiparametric MRI Based on Fuzzy Bayesian Model
2014
International audience
Fuzzy logic-decision-making system dedicated to evaluation of logistics project effectiveness
2016
Background: Project effectiveness is synonymous with project success. It is measured or assessed in terms of the degree to which project objectives are achieved. This paper presents an approach to evaluating the effectiveness of logistics projects. The starting point is the analysis of the current state of knowledge in the area of assessing project effectiveness, including logistics projects. The purpose of the study was to identify the critical factors determining the success of logistics projects and develop a model of logistics project effectiveness. Methods: The paper is based on the available recent scientific-theoretical research and publications and on practical studies in 25 enterpr…
Fuzzy logic-decision-making system dedicated to evaluation of logistics project effectiveness
2016
Background: Project effectiveness is synonymous with project success. It is measured or assessed in terms of the degree to which project objectives are achieved. This paper presents an approach to evaluating the effectiveness of logistics projects. The starting point is the analysis of the current state of knowledge in the area of assessing project effectiveness, including logistics projects. The purpose of the study was to identify the critical factors determining the success of logistics projects and develop a model of logistics project effectiveness. Methods: The paper is based on the available recent scientific-theoretical research and publications and on practical studies in 25 enterpr…
Diversita’ spaziale del cloro residuo nelle reti di approvvigionamento idrico
2007
La qualità dell’acqua nelle reti di distribuzione può essere sensibilmente alterata da una serie di processi che si sviluppano sia lungo il sistema di adduzione che nella stessa rete di distribuzione. La riduzione della concentrazione di cloro, utilizzato per la disinfezione delle acque, può essere considerata un indice del progressivo deterioramento delle caratteristiche igieniche dell'acqua circolante in rete. La concentrazione del cloro, libero o combinato, è infatti strettamente legata alle reazioni che si sviluppano all’interno delle condotte. In questo lavoro particolare attenzione è rivolta alla identificazione della diversità spaziale del cloro residuo in rete. L’analisi viene condo…
GRANULAR-INFORMATION-BASED RISK ANALYSIS IN UNCERTAIN SITUATIONS
2006
In the real life almost all of the decisions that we have to make incorporate uncertainty about the future events. Assessment of the uncertainty and, thus, the risk that is inherent in these decisions models can be critical. It is even truer if we are talking about the possibility of negative impact on the environment. It is very important to assess all the environmental risks in a project if there is any hazard to the environment. In this paper the possibility of using granular information is considered. The main advantage of the granular information is that it can be used to assess risks in situations when information about future events is incomplete and imprecise. Moreover, we can use n…
Clean Agent Selection Approached by Fuzzy TOPSIS Decision-Making Method
2008
Abstract. It is well known that halons are ozone-depleting substances and their release into the atmosphere has contributed in the last decades to the reduction in the ozone layer. In consequence to the Montreal Protocol, an international agreement designed to gradually eliminate the use of such substances, fire protection industry researchers faced the challenge of finding effective solutions to replace halon extinguishers. This research aims to provide a method to support the decision maker in the selection of the most suitable extinguisher substance for a specific application. According to such framework, a set of quantitative and qualitative criteria has been established in the decision…
Ordered fuzzy rules generation based on incremental dataset
2021
This paper proposes a novel approach for building transparent knowledge-based systems by generating interpretable fuzzy rules that allow for present dependences between quantitative variables by accounting for uncertainty and the dynamics of their values. In the approach, IF-THEN rules are used to show the conditional relationship between the ordered fuzzy numbers, which contain additional information about the tendencies of variables' value changes. This paper elaborates an approach of mining ordered fuzzy rules from numerical data included in an incremental database. This approach develops the ability to record uncertainty and its change in the context of rapidly changing data. In additio…