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fuzzify
verb
To subject to fuzzification.
Exact(12)
In order to address these uncertainties, we propose a fuzzy logic-based approach to capture uncertain information, fuzzify this and infer here quality predictions based on the fuzzified recorded log data.
The first step is to fuzzify the input variables.
Typically, a membership function is used to fuzzify input and output variables.
One of the most important aspects of the extension of EOQ and EPQ models is to fuzzify their parameters.
A fuzzification method is developed to fuzzify the crisp numbers of data sets into trapezoidal fuzzy numbers.
The qualified categorisation will in the next step be used to define fuzzy membership functions that fuzzify the infrastructure input captured in the patterns.
Their first method of solution was to fuzzify the crisp solution and then check to see if it satisfies the fuzzy differential equations with fuzzy initial conditions.
Our proposal if to fuzzify all pattern mapings M i ×S and calculate an optimum quality in a fuzzified space before defuzzifying the result as a concrete pattern with a predicted quality value.
More concretely, we fuzzify M 1×M 2×M 3→ Qmappings for one quality range (tilde {q} in Q) with (tilde {q} = q_{textit {min}} sim q_{textit {max}}) and a given service s∈S.
Since these two objectives are measured in different unit, in order to optimize the sizing of MBESS comprehensively, membership function, proved to be a good solution to the multi-objective problem, is used to fuzzify the objective function [23].
Sjoerd and Kwakernaak [9] explored the application of fuzzy set theory to solve multiple-attribute decision problems under uncertainty and proposed the concept of membership level to fuzzify the inherent uncertainty of preference (ratings or weights) and to quantify the uncertainty of ratings or weights among different attributes or stakeholders.
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