2024/05/28 by Bubai Manna, Manna, Bubai · 3 citations
Computer Science · #Advanced Graph Theory Research #Topological and Geometric Data Analysis #Rough Sets and Fuzzy Logic
paper · pdf · doi:10.48550/arxiv.2405.18569
Let G be a simple connected graph with vertex set V(G) and edge set E(G. Each vertex of V(G) is colored by a color from the set of colors c1, c2,…, cα. We take a subset S of V(G), such that for every vertex v in V(G)§, at least one vertex of the same color is present in its set of nearest neighbors in S. We refer to such an S as a consistent subset (CS). The Minimum Consistent Subset (MCS) problem is the computation of a consistent subset of the minimum cardinality. It is established that MCS is NP-complete for general graphs, including planar graphs. The strict consistent subset is a variant of consistent subset problems. We take a subset S′ of V(G), such that for every vertex v in V(G)§′, all the vertices in its set of nearest neighbors in S′ have the same color as that of v. We refer to such an S′ as a strict consistent subset (SCS). The Minimum Strict Consistent Subset (MSCS) problem is the computation of a strict consistent subset of the minimum cardinality. We demonstrate that MSCS is NP-hard for general graphs using a reduction from dominating set problems. We construct a 2-approximation algorithm and a polynomial-time algorithm in trees. Lastly, we conclude the faster polynomial-time algorithms in paths, spiders, and combs.