Using LR-Type Membership Function For Estimating Fuzzy Linear Parameters For Electrical Load Estimation
Abstract
A fuzzy linear estimation problem is formulated.
The objective is to minimize the spread of the data points, taking
into consideration the LR-type membership function of the fuzzy
parameters to satisfy the constraints on each measurement point
and to ensure that the original membership is included in the
estimated membership. The proposed models are applied to
different examples from the area of fuzzy linear regression and
finally to different examples for estimating the electrical load on
a busbar. It had been found that the proposed technique is more
suited for electrical load estimation, since the nature of the load is
characterized by the uncertainty and vagueness.
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