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This idea has been extended to determine the stability margin of fuzzy interval polynomials.
We can also define the fuzzy interval [ x, y ] = { z ∈ E 1 : x ≤ z ≤ y }.
Based on the level-cut technique, a first-order fuzzy interval perturbation FE/SEA (FFIPFE/SEA) and a second-order fuzzy interval perturbation FE/SEA method (SFIPFE/SEA) are developed to handle the mixed parametric uncertainties efficiently.
Among applications of the decomposition of a fuzzy interval using a symmetric fuzzy number and a midpoint function is the study of the fuzzy variance of a fuzzy interval [42, 43].
The eventual fuzzy interval frequency responses are reconstructed by the interval union operation and fuzzy decomposition theorem.
([1997b]) developed a fuzzy interval multiobjective mixed integer programming (FIMOMIP) model and applied it to municipal solid waste planning.
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The imprecise weights are modeled by intervals and fuzzy intervals.
Tolerance neurons form a generalized version of intervals (sets) arising in a form of fuzzy intervals.
We focus on trapezoidal fuzzy intervals and objects with trapezoidal membership function representation.
Moreover, Dubois discussed membership function, aggregation operators, linguistic variables, fuzzy intervals and the valued preference relations.
Table 2 shows the linguistic variables, their linguistic values and associated fuzzy intervals.
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