The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This study deals with evaluation of products according to the Kansei, which is an individual subjective impression reflecting the aesthetic appeal of products. To do so, after introducing a probabilistic approach to generating Kansei profiles involving fuzzy uncertainty and underlying semantic overlapping, we have proposed a two-phase nonadditive multiattribute Kansei evaluation model based on probabilistic...
Thousands of people die every year because of cancer due to limitation of medical sources and unable to use the existing sources effectively. Loss of patients can be reduced by using the numerical (quantitative) techniques in the system of Medical and Health. Cancer is a genetic disease which is developed by the abnormal cell increase and cell growth as a result of DNA damage and cells being out of...
Symbolic dynamics proved to be adequate for the study of complex systems and to describe dynamic aspects within time series. Microelectrode recordings (MER) obtained during deep brain stimulation surgery for Parkinson's disease can be considered as time series. In this study, symbolic dynamics was applied to MER obtained from subcortical structures: thalamus, zona incerta, subthalamic nucleus and...
Unique highly reliable components are typical for aerospace industry. For such components, due to their high reliability and uniqueness, we do not have enough empirical data to make statistically reliable estimates about their failure rate. To overcome this limitation, the empirical data is usually supplemented with expert estimates for the failure rate. The problem is that experts tend to be - especially...
Fuzzy C-Means has been used as a popular fuzzy clustering method due to its simplicity and high speed in clustering large data sets. However, C-Means has two shortcomings: dependency on the initial state and convergence to local optima. In this paper a new algorithm based on simulated annealing and possibilistic noise rejection clustering is proposed to reduce the problem of converging to local minima...
The biomedical field publishes a huge volume of articles every year and most of them are now available online as PDF full-texts. here is still no an effective search mechanisim that could locate the full-text articles very narrowly matching the users preference quickly. Such a mechanisim can be important for many real-time applications such as information at point of care for a physician who only...
Subject matter expert assessments can include both assignment and linguistic uncertainty. This paper examines assessments containing linguistic uncertainty associated with a qualitative description of a specific state of interest and the assignment uncertainty associated with assigning the state to a particular qualitative value. A Bayesian approach is examined to simultaneously quantify both assignment...
In this work a novel wavelet-fuzzy logic approach to structural health monitoring is proposed based on wavelet transform theory and fuzzy logic technology. The proposed method combines the effectiveness of the Wavelet Packet Transform (WPT) as a tool for feature extraction and the capabilities of fuzzy sets to model vagueness and uncertainty. Two stages of operation are considered: pattern training...
Classifying biomedical spectra is often difficult due to the bir voluminous nature; typically, only a small subset of spectral features is discriminatory, while the large majority tends to have a confounding effect on pattern classifiers. We present a two-pronged approach to dealing with this issue. First, we describe an iterative technique whereby many classifier instances operate on different feature...
In Multi-Criteria Decision Making (MCDM), decisions are based on several criteria that are usually conflicting and non-homogenously satisfied. Non-additive (fuzzy) measures along with the Choquet integral can model and aggregate the levels of satisfaction of these criteria by considering their relationships. However, in practice, it is difficult to identify such fuzzy measures. An automated process...
We proposed a profit sharing strategic game approach to wage negotiation and decision problems in business organisations. In the scheme, both the employer and the union choose their strategies and the game is played in five rounds. We refer to our model as automated game approach to wage negotiation and decision problems (AGAW). Our method proposes profit (positive or negative) sharing sequential...
This paper describes an evolutionary algorithm approach for the optimization of a fuzzy reactive controller applied to a mobile robot. The algorithm will optimize the Fuzzy Inference System evaluating the performance of each individual with a Neuro-Fuzzy fitness function that considers the robots covered distance, time used, battery life and the pattern of the trajectory.
Assessing the quality of sensor data in environmental monitoring applications is important, as erroneous readings produced by malfunctioning sensors, calibration drift, and problematic climatic conditions such as icing or dust, are common. Traditional data quality checking and correction is a painstaking manual process, so the development of automatic systems for this task is highly desirable. This...
Min-based (or qualitative) possibilistic networks appear to be important tools to efficiently and compactly represent and analyze uncertain information. Inference is the crucial task which consists in propagating information through the network structure. Exact inference calculates posterior possibilistic distributions given an observed evidence in a time proportional to the number of nodes of the...
We show that the sup-t-norm and inf-residuum types of fuzzy relational equations, considered in the literature as two different types, can be viewed as two particular instances of a single, more general type of equation. We demonstrate that several pairs of corresponding results on the sup-t-norm and inf-residuum types of equations are simple consequences of single results on the on the more general...
Adaptive Neuro-Fuzzy Inference System (ANFIS) has become a popular tool in neuro-fuzzy modeling. However, since it includes many parameters needed to be set, its designing process is a complicated and time-intensive task for experimenters. To tackle this problem, in this paper we implement the Design of Experiment (DOE) technique to identify the significant parameters of ANFIS when it applies to the...
This work deals with the optimal control problem which has been proposed to solve using the discrete augmented lagrangian based non-linear programming approach. It is shown that this technique guarantee a satisfactory performance in the face of both optimality by minimizing the energy and maximizing the output. Later on, the optimization has been more effective by using PSO-GA-Based Optimization to...
Fingerprint identification is a well-known technique in forensic sciences. The basic idea of identifying a subject based on a set of features left by the subject actions or behavior can be applied to other domains. Identifying text authorship based on an author “fingerprint” is one such application. This paper considers the problem of extracting “fingerprints” from texts and matching them with those...
This paper applies fuzzy logic approach to examine consumer ethnocentrism level for Jordanians based on their socio-psychological variables namely, patriotism, nationalism and internationalism. To model the relationships between three inputs namely, patriotism, nationalism and internationalism and one output ethnocentrism MATLAB® ANFIS has been used, utilizing a sample of 341 Jordanians live in Amman...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.