Air conditioner production optimization method based on interval type-2 fuzzy decision rough set model
A type-2 interval fuzzy and optimization method technology, applied in the direction of instruments, manufacturing computing systems, data processing applications, etc., can solve the problem of not being able to ensure the minimum expected loss, ignoring the loss function matrix information, and not being able to guarantee the accuracy and reliability of information representation results To ensure reliability and trustworthiness, enhance expressive ability, and reduce expected loss
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[0060] figure 1 It is a specific embodiment of the present invention, and this embodiment is an air-conditioning production optimization method based on an interval-type fuzzy decision-making rough set model. In order to determine the optimal production mode of green air-conditioning products, first define an interval-type fuzzy information system. Interval type two fuzzy information system is a quaternion IS=(U, AT, V, f), wherein, U is a non-empty finite set of objects, which is called domain; AT is a non-empty finite set of attributes; V=∪ c∈AT V c and V c is the value range of attribute c; f:U×AT→V is a function, for any c∈AT, z∈U has f(z,c)∈V c , where f(z,c) is an interval type II fuzzy number. Suppose U={z 1 ,z 2 ,…,z m} is a discrete set with m feasible production methods of green air-conditioning products, AT={c 1 ,c 2 ,...,c n} is the index set of interval type II fuzzy information system, mainly including control system, cooling power, heating power, mater...
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