Dynamic Domination in Fuzzy Causal Networks  

Oleh:

Jian Ying Zhang ; Zhi-Qiang, Liu ; Sanming Zhou

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Fuzzy Systems vol. 14 no. 1 (Feb. 2006), page 42-57.
Topik: Domination; Dyanamic System; Fuzzy Causal Network (FCN); Fuzzy Cognitive Map; Intelligent System

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II70 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper presents a dynamic domination theory for fuzzy causal networks (FCN). There are three major contributions. First, we propose a new inference procedure based on dominating sets. Second, we introduce the concepts of dynamic and minimal dynamic dominating sets (DDS and MDDS) in an FCN. To reflect changes of dominance with time, we also introduce the concept of a dynamic dominating process (DDP) that has significant implications in many real-world problems. We pay a special attention to the minimal dynamic dominating process (MDDP) and develop rules for generating DDP and MDDP. Third, we investigate dynamic dominating sets with extended feedback, which we call effective dynamic dominating sets (EDDS), and related effective dynamic dominating process (EDDP). This study unveils a very important phenomenon in FCN: At any time t, either an EDDS exists or there is a dramatic change of the states of vertices. In the latter case we also identify the special structure of the sub-FCN induced by active vertices.

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