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.
LU parametric representation of fuzzy numbers describes fuzzy sets via the lower and upper endpoints of the level sets. This representation is used in the present paper to develop a single input single output fuzzy system of Mamdani type. The functions returning the endpoints of the level sets of a Mamdani system are calculated and the defuzzification is also described in the new LU-setting. The advantage...
Through this research, we shows a study on the identification of poverty in a great city with over a million of habitants -and featured with a radical violence which costs 32000 deaths-and analyze vulnerability with homeless and poor people in the municipality of Ciudad Juarez - a largest city in México, the seventh most largest-, trying the questionnaire used for the study, with fuzzy logic techniques...
Human population growth and increased industrial activity in recent decades have contributed to a range of environmental problems, including the contamination of groundwater and surface water. In order to help in the management of these resources, water quality indices are used as tools to summarize multiple parameters and express them in the form of a single number. The ability to provide both an...
Fuzzy logic as a basis for modeling concepts was rejected by psychologists because of an influential paper published by Osherson and Smith in 1981. While Osherson and Smith were important and influential psychologists, they were not logicians. A critical analysis of their work reveals a series of tired arguments.
A chest pain assessment system for diagnosing the risk of Acute Myocardial Infarction for Unstable Angina based on the fuzzy logic and a modified Braunwald risk classification is proposed in this paper. While the fuzzy logic allows dealing with both the uncertainty and the imprecision in information, the risk chest pain evaluation is carried out by the symptom severity diagnosis derived from the Braunwald...
Evolving fuzzy systems change by online updating of their parameters and structure; the number of fuzzy rules changes as long as there is new data. In literature, an evolving fuzzy system is mainly considered to be an unsupervised approach that builds and updates its clusters online as long as new data is available. In our previous works, we introduced a new supervised evolving fuzzy approach for...
Let L be a fuzzy propositional logic based on triangular norm min(x,y) (Zadeh's logic). A fact in L is an expression of the form r ≤ ϕ ≤ s where ϕ ∈ L and 0 ≤ r ≤ s ≤ 1. In fuzzy interpretation I of L every fact is true or false, and I(r ≤ ϕ ≤ s) = 1 if and only if the two-side inequality r ≤ I(ϕ) ≤ s is satisfied. Thus, the set FL of all facts defines a crisp logic with fuzzy interpretations. Logical...
Precision Agriculture is becoming an unavoidable approach for farmers aiming to improve their businesses. Technologies that were once used only by urban companies are being used in agriculture in order to maximize their production, reducing the costs. In this sense, this work proposes to apply environmental sensing technologies to assist farmers to detect the probability of occurrence (or proliferation)...
In this paper, a new hybrid method for forming interval type 2 fuzzy inference systems (IT2 FIS) is shown. This methodology builds upon an existing type 1 fuzzy inference system (T1 FIS) or from the output centers from any clustering algorithm, calculating the footprint of uncertainty (FOU) based on the implementation of the principle of justifiable granularity, and finally a particle swarm optimization...
Following the Computing With Words, in its wider sense, this paper examines the treatment of prepositions with fuzzy logic. In particular, the paper looks at the treatment of two prepositions, in and on, from both the theoretical perspective and that of a text sample analysis. We have shown that the fuzzy analysis of prepositional meaning is helpful for its formal and computational representation,...
We consider the problem of characterizing and computing a minimal context for a given fuzzy context. That is, for a given binary fuzzy relation between a set of objects and a set of attributes, we want to obtain a new fuzzy relation in such a way that its concept lattice is isomorphic to the concept lattice of the original fuzzy relation and such that the new fuzzy relation is minimal. It turns out...
Effectively managing risk is an essential element of successful project management. It is imperative that project management team consider all possible risks to establish corrective actions in the right time. So far, several techniques have been proposed for project risk analysis. Failure Mode and Effect Analysis (FMEA) is recognized as one of the most useful techniques in this field. The main goal...
In this paper the lower and upper type-2 fuzzy weight adjustment applied in a neural network performing the learning method is proposed. The mathematical representation of the adaptation of the interval type-2 fuzzy weights and the proposed learning method architecture are presented. This research is based in the analysis of the recent methods that manage weight adaptation and implementing this analysis...
This paper presents an edge detection method based on morphological gradient technique and generalized type-2 fuzzy logic. The theory of alpha planes is used to implement generalized type-2 fuzzy logic. For the test we used the method of defuzzification by height and approximation. The simulation results were obtained with a type-1 fuzzy inference system (T1FIS), an interval type-2 fuzzy inference...
In the traditional fuzzy logic, as truth values, we take all real numbers from the interval [0; 1]. In some situations, this set is not fully adequate for describing expert uncertainty, so a more general set is needed. From the mathematical viewpoint, a natural extension of real numbers is the set of complex numbers. Complex-valued fuzzy sets have indeed been successfully used in applications of fuzzy...
In this paper a new method for response integration, based on generalized type-2 fuzzy logic, in modular neural networks (MNNs) is presented. The main idea is that the uncertainty in combining the outputs of the different modules in the MNN can be handled in a better way by using type-2 fuzzy logic. Previous works have considered using interval type-2 fuzzy logic for this task, but in this paper we...
Forecasting exchange rate is very important for many international agents e.g. investors, money managers, investment banks, funds makers and others. We forecasted the daily Bangladeshi and Canadian exchange rate series for the period of October 1996 to January 2013. Paying attention with recently developed econometric noises, we considered widely-used non-linear forecasting model namely the fuzzy...
Dental classification for periapical radiograph based on multiple fuzzy attribute is proposed, where each tooth is analyzed based on multiple criteria such as area/perimeter ratio and width/height ratio. A classification method on special type of dental image called periapical radiograph is studied and classification is done without speculative classification (in case of ambiguous object), therefore...
Fuzzy models offer a convenient way to describe complex and nonlinear systems. Fuzzy relational equations, viewed as a certain class of fuzzy models, play a pivotal role in fuzzy modeling. Their theory supports ways in which these equations could be solved and offers a characterization of the resulting families of solutions. Assuming that the corresponding relational equation or a system of relational...
We develop a method to construct a fuzzy rule-based classifier which makes use of the pattern trees and Axiomatic Fuzzy Set (AFS) theory. The AFS framework supports a way on how to convert the information present in databases into the membership functions and their fuzzy logic operations. A selection index used for quantifying the discriminatory capabilities of the fuzzy concept was proposed. Being...
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.