Results 221 to 230 of about 17,779 (265)
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Fuzzy logic in a patient supervision system
Artificial Intelligence in Medicine, 2001A patient supervision system in progress for intensive and coronary care units, focused on patients with acute myocardial infarct is briefly described particularly regarding the role that fuzzy logic is playing in its design, and why this is so.
Senén Barro +3 more
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2017
The human mind has always shown a remarkable capability of coordinating a wide variety of physical and mental tasks without using any explicit measurements and computations.
Rómulo Antão +3 more
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The human mind has always shown a remarkable capability of coordinating a wide variety of physical and mental tasks without using any explicit measurements and computations.
Rómulo Antão +3 more
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Fuzzy Logic in Predictive Harmonic Systems
2020From the risk prediction perspective it is important to be able to access any relevant information that may improve its accuracy. Many concerns arise regarding how well such information is being managed. From the traditional point of view, data can be numeric or nominal. These considerations affect the efficiency of the predictive model.
Walter Bel +5 more
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FUZZY LOGIC APPLICATIONS IN TRANSPORTATION SYSTEMS
International Journal on Artificial Intelligence Tools, 1995The purpose of this paper is to provide a survey of state of the art fuzzy logic applications in the field of transportation, illustrating the usefulness, and the promising future of the fuzzy approach. The majority of the discussion covers the area of fuzzy control. A wide range of Fuzzy Logic Controllers (FLCs) is discussed, ranging from traffic, to
Nicholas Marchalleck, Abraham Kandel
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Extended Fuzzy Logic: Sets and Systems
IEEE Transactions on Fuzzy Systems, 2016The concepts of sets and approximate reasoning within extended fuzzy logic (FLe) provide a systematic procedure for transforming unprecisiated knowledge into a nonlinear mapping over what we define here as f -sets. An f -set differs from a fuzzy set in that it is associated with the restriction of validity in addition to that of possibility ...
Farnaz Sabahi +1 more
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IEEE Transactions on Fuzzy Systems, 1999
We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on "output processing," which consists of type reduction and defuzzification.
Nilesh N. Karnik +2 more
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We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on "output processing," which consists of type reduction and defuzzification.
Nilesh N. Karnik +2 more
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2017
I demonstrate two fuzzy logic projects. The first one deals with a common situation that we all occasionally encounter: how to compute a tip for a meal at a restaurant. The second demonstration is more complex and involves implementing a control system that uses FL as part of its control technology.
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I demonstrate two fuzzy logic projects. The first one deals with a common situation that we all occasionally encounter: how to compute a tip for a meal at a restaurant. The second demonstration is more complex and involves implementing a control system that uses FL as part of its control technology.
openaire +1 more source
1999
Abstract A fuzzy logic system is one type of approximate reasoning system. It can be considered as one type of (intelligent) non-linear function approximator (see also Section 4.4). In the past five years there has been a huge increase in the application of fuzzy logic systems.
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Abstract A fuzzy logic system is one type of approximate reasoning system. It can be considered as one type of (intelligent) non-linear function approximator (see also Section 4.4). In the past five years there has been a huge increase in the application of fuzzy logic systems.
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Fuzzy Logic System for Students’ Evaluation
2005A fuzzy evaluation system to decide critical students' final marks is presented. The marks of the assessment tests made by students along the academic year are transformed into linguistic terms and used for assigning values to linguistic variables. Subjective criteria as i.e.
José Antonio Montero +3 more
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Simulation of a Fuzzy-Logic Control System
SIMULATION, 1993We review fuzzy-control principles and show a simulation program permitting convenien t generation of membership functions and simple output interpolation. Interactive simulation is more than ordinarily important for economical fuzzy- controller design, which must reduce the number of membership classes and input/ output rules as much as possible.
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