Decision Application Based on Partial Ordered Set to Improve QUALIFLEX Model

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Abstract

The conventional QUALIFLEX model is unable to solve the uncertainty weighting problem when solving the multi-criteria problem. The weighting problem is resolved by enhancing the QUALIFLEX model based on the set of partial orders, accumulating and transforming weights according to their order to produce the weight space. The order of arrangement between schemas is displayed using the Hastings graph, and the arrangement of schemas is stratified. As can be seen from the sample results, after the QUALIFLEX model is improved by using partially ordered sets, the scope of its application is expanded and the stability of the scheme’s ranking results is increased.

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