Membership function (MF)
Fuzzy Based Detection of Desertification prone Areas: A Case Study in Khorasan Razavi Province, Iran
... Abstract In this article, a desertification susceptibility map was developed over Khorasan Razavi ecoregions located in northeastern Iran with arid and semi-arid environments. For this purpose, a fuzzy algorithm ...
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A. Target Diseases and Symptoms
... Abstract— In this paper, we show an intelligent disease diagnosis system for public. Our system deals with 30 diseases and their typical symptoms selected based on the report from Ministry of Health and Welfare, Korea. ...
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Interval type 2 defuzzification using uncertainty weights
... type–2 membership functions to a single type–1 membership function by averag- ing the upper and lower memberships, and then applies a type–1 centroid ...
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Linear Programming Problem with Intuitionistic Fuzzy numbers
... solution, membership function for each objective function are constructed by computing best and worst acceptable solutions and deal the constraints of the problem with ranking of intuitionistic fuzzy ...
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Online Full Text
... Fuzzy logic controller (FLC), a successful application of Zadeh’s fuzzy set theory [18], is a potential tool for dealing with uncertainty and imprecision. Thus, the knowledge of a doctor can be modeled using an FLC. The ...
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Parameter based Cluster Head Election in Wireless Sensor Network: A Fuzzy Approach
... Fuzzy rule based system is a non linear mapping technique of representing input data into outturn. The proposed fuzzy logic based cluster head election algorithm takes three input fuzzy variables Residual Energy, ...
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Classification of tb disease diagnosis using anfis
... 2 membership function using Triangular function and the results apparently demonstrated in upper section which shows that ANFIS has the potency for modeling in diagnosis of Tuberculosis disease by ...
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Elliptic membership functions and the modeling uncertainty in type 2 fuzzy logic systems as applied to time series prediction
... type-2 membership function and compare and contrast it with the more usual ...fuzzy membership functions such as having decoupled parameters for its support and width, this novel membership ...
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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images
... required membership functions on an image, which transforms the image from a pixel plane to a fuzzy plane is called ...Characteristic function in crisp collections are the Fuzzy collections having ...
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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images
... variety of fields including research. This paper proposes a spectral resolution enhancement method (SREM) for remotely sensed multi-temporal images using the Fuzzy Inference System. Improving the quality of the images ...
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Introduce a Novel PCA Method for Intuitionistic Fuzzy Sets Based on Cross Entropy
... functions: membership function and non- membership function, so that their sum is less that 1, which means that intuitionistic fuzzy sets, unlike fuzzy sets, keeps room for hesitancy such as ...
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Recognition and Cure Time Prediction of Swine Flu, Dengue and Chicken Pox using Fuzzy Logic
... Rule Viewer to view the fuzzy inference diagram. Use this viewer as a diagnostic to see for example, the individual membership function shapes significance the results. The Rule Viewer displays the ...
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Multi Objective Programming For Transportation Planning Decision
... Many realistic situations are expressed in vague or ambiguous terms. For instance, if we were to group all bright colors into one set, then the natural question to arise would be how bright a color should be to belong to ...
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More on vague sets
... the membership of elements in a set assessed in binary terms according to bivalent condition-an element either belongs or does not belong to the ...the membership of elements in a set; this is described ...
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Exercise Bike Model using Fuzzy Logic
... The table V indicates result of different range of inputs and the outcomes for it. The fuzzification process represents the crisp values into linguistic variables such as Low, Medium and High and then fuzzy rules are ...
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The Atmospheric Gravity Wave Transfer Function above Scott Base
... the MF-radar climatology, which spanned the mesosphere and lower thermosphere, a gravity wave climatology was produced for the troposphere and the region of the summer tropopause using radiosondes launched from ...
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Urban Market Fire Disasters Management in Nigeria: A Damage Minimization based Fuzzy Logic Model Approach
... The factors identified were changed into fuzzy expressions using appropriate linguistic variable and the membership functions as summarized in table1 based on the Mamdani’s fuzzy Inference approach. Some ...
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Discovery of Specific Antigens That Can Predict Microfilarial Intensity in Loa loa Infection
... L oiasis, caused by the filarial parasite Loa loa, affects ⬃ 14 million people in Central and West Africa (1). Because the majority of infections are clinically asymptomatic and the symptomatic infections are rarely ...
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Original Article Identification of microRNA expression in a rat model of post-infarction heart failure
... in function in the rat myocardi- ...cardiac function and remodeling during heart disease progression ...Loss-of- function miR-133a mutants exhibit increased proliferation of cardiomyocytes and ...
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SECTORAL ALLOCATION OF MF SCHEMES – A STUDY
... growth MF schemes have been chosen. The MF Schemes that are considered for the formation of sample are those 12 peer schemes which have highest 3 year compounded annualized ...
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