Sirzat Kahramanli

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The basic solution for locating an optimal reduct is to generate all possible reducts and select the one that best meets the given criterion. Since this problem is NP-hard, most attribute reduction algorithms use heuristics to find a single reduct with the risk to overlook for the best ones. There is a discernibility function (DF)-based approach that(More)
In order to generate prime implicants for a given cube (minterm), most of minimization methods increase the dimension of this cube by removing one literal from it at a time. But there are two problems of exponential complexity. One of them is the selection of the order in which the literals are to be removed from the implicant at hand. The latter is the(More)
Most of the direct-cover Boolean minimization techniques use a four step cyclic algorithm. First, the algorithm chooses an On-minterm; second, it generates the set of prime implicants that covers the chosen minterm; third, it identifies the essential prime implicant; and fourth, it performs a covering operation. In this study, we focus on the third step and(More)
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