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Showing 1 to 20 of 58 for “"Fuzzy sets"”.
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Probabilistic interpretations of fuzzy sets and systems
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Bipolar fuzzy sets in switchboard automata and optimisation problems
Bipolar fuzzy sets can be extended to triangular bipolar fuzzy number and are applied in optimisation problems, specifically critical path problem and reliability system of an automobile. Some of the properties of triangular bipolar fuzzy numbers are introduced and used in critical path problems to …
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A structural analysis and classification of multivalued fuzzy sets
La teoría de conjuntos difusos, tal como la formuló originalmente L. A. Zadeh, es una generalización de la teoría de conjuntos en la que se sustituye la función característica de un conjunto, que asigna a los miembros el valor 1 y a los no miembros 0, por una función más general que asigna a los …
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Experimental comparison of probabilistic methods and fuzzy sets for designing under uncertainty
… approach for modeling uncertainties is fuzzy sets. Fuzzy sets usually require much less information than probabilistic methods and they rely on expert opinion. In principle, probability theory should work better in problems involving only random uncertainties, if sufficient information …
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The Quantification of Perception Based Uncertainty Using R-fuzzy Sets and Grey Analysis
… From these models, it was decided that an R-fuzzy approach would provide for the most ideal foundation from which to enhance and expand upon. An R-fuzzy set can be seen as a relatively new model, one which itself is an extension to fuzzy set theory. It makes use of a lower and upper …
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Evaluation of the Performance of Customer Service Representatives in a Call Center Using DEA/ Network Model/ Fuzzy Sets
… This imprecision is captured using the fuzzy sets. The triangular membership functions were used to describe the membership functions. So a unique network model that captured fuzzy variables was created. The second main research contribution is that this is the first attempt of capturing …
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Type-2 Fuzzy Alpha-cuts
Systems that utilise type-2 fuzzy sets to handle uncertainty have not been implemented in real world applications unlike the astonishing number of applications involving standard fuzzy sets. The main reason behind this is the complex mathematical nature of type-2 fuzzy sets which is the source of …
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A Relation-Algebraic Approach to L - Fuzzy Topology
… which must be considered. The theory of fuzzy sets is one way of formalizing one of the types of uncertainty that occurs when modeling real objects. Fuzzy sets have been applied in various real-world problems such as control system engineering, image processing, and weather forecasting …
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Geometric Fuzzy Logic Systems
… in academic interest in the field oftype-2 fuzzy sets and systems. Type-2 fuzzy systems offer the ability to model and reason with uncertain concepts. When faced with uncertainties type-2 fuzzy systems should, theoretically, give an increase in performance over type-l fuzzy systems. However, …
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ΜΙΑ ΜΠΟΥΛΙΑΝΗ ΓΕΝΙΚΕΥΣΗ ΤΗΣ ΑΠΕΙΡΟΣΤΙΚΗΣ ΑΝΑΛΥΣΗΣ ΜΕ ΕΦΑΡΜΟΓΕΣ ΣΤΑ ΑΣΑΦΗ ΣΥΝΟΛΑ
… US TO THE BOOLEAN ANALYSIS. INTERNAL-EXTERNAL SETS, MOSTOWSKI'S COLLAPSING TRANSFER PRINCIPLE AND OTHER NOTIONS OF NON STANDARD ANALYSIS ARE ALSO GENERALIZED. WE USE THE THEORY OF BOOLEAN POWERS AND FINALLY WE GET A BOOLEAN- VALUED MODEL OF THE REALS (IR#), THAT IS ISOMORPHIC TO THE ELEMENTARY …
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Applications of fuzzy logic to mechanical reliability analysis
In this work, fuzzy sets are used to express data or model uncertainty in structural systems where random numbers used to be utilized.
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Type-2 Fuzzy Logic: Circumventing the Defuzzification Bottleneck
Type-2 fuzzy inferencing for generalised, discretised type-2 fuzzy sets has been impeded by the computational complexity of the defuzzification stage of the fuzzy inferencing system. Indeed this stage is so complex computationally that it has come to be known as the defuzzification bottleneck. The …
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An integrated systems approach to QFD
… with QFD to overcome some of its problems. Fuzzy Logic/Fuzzy Sets and the Taguchi Method are identified as techniques and methods to be incorporated within the QFD process to provide a more consistent, quantitative and rigorous method to analyse subjective data in the QFD …
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Mathematical tools for Hesitant Sets. Applications
… de conjunto difuso, tales como interval-valued fuzzy sets, Atanassov's intuitionistic fuzzy sets o type-2 fuzzy sets. En los últimos años, aparece una interesante extensión de la lógica difusa, la llamada hesitant fuzzy logic. En este marco, se han definido distintos tipos de conjuntos, …
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Contribución al estudio crítico de la inferencia borrosa y de sus aplicaciones
… This work belongs to the general _eld of Fuzzy Logic. In our case it is focused on the relations (similarities and di_erences) between the structure and properties of Fuzzy Set Theories and Lattices. With this aim in mind, a description of principles, properties and functions of ordered …
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Optimal sensor placement in structural health monitoring (SHM) with a field application on a RC bridge
… sensors installed on the bridge, we establish fuzzy sets describing different damage states of the bridge. Unknown states of the bridge performance are then identified using degree of similarity between these fuzzy sets. The proposed SHM system will reduce human intervention significantly and …
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Application of formal safety assessment for ship hull vibration modelling
… out utilising Evidential Reasoning (ER) and a fuzzy rule base.Secondly, ship selection (decision making) is investigated to to select the best ship design based on the risk estimation results of SHV. The risk estimation is carried out using ER, a fuzzy rule base and continuous fuzzy sets. The …
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Método de identificação de transientes com abordagem possibilística, otimizado por algoritmo genético
… the partition of the search space, generating subsets in the classes, within a partition, defined as subclasses, whose centroids are able to distinguish the classes with the maximum correct classifications. The interpretation of the subclasses as fuzzy sets and the possibilistic approach provided …
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Fuzzy Decision Support Applied to Machine Maintenance
… of real world data leads to the use of type-1 fuzzy sets, type-2 fuzzy sets, fuzzy decision tree and fuzzy time-series for fuzzy data-mining - to which they are applied for the look-ahead based interval-valued fuzzy decision tree with optimal perimeter of the neighbourhood (LAIVFDT-OPN) model, …
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