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YINYANG BIPOLAR LATTICES AND L-SETS FOR BIPOLAR KNOWLEDGE FUSION, VISUALIZATION, AND DECISION

WEN-RAN ZHANG

Department of Computer Science, College of Information Technology, Georgia Southern University, P. O. Box 7997, Statesboro, Georgia 30460-7997, USA

Tel: (912)486-7198; Fax: (912)486-7672.

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https://doi.org/10.1142/S0219622005001763Cited by:39 (Source: Crossref)

Abstract

YinYang bipolar sets, bipolar lattice, bipolar L-crisp sets, and Bipolar L-fuzzy sets are presented for bipolar information/knowledge fusion, visualization, and decision. First, a bipolar lattice B is defined as a 4-tuple (B, ⊕, &, ⊗) in which every pair of elements has a bipolar lub (blub ⊕), a bipolar glb (bglb &), and a cross-pole glb (cglb ⊗). A bipolar L-set (crisp or fuzzy) B = (B^-, B⁺) in X to a bipolar lattice B_L is defined as a bipolar equilibrium function or mapping B : X ⇒ B_L. A strict bipolar lattice B is defined as a 7-tuple (B, ≡, ⊕, ⊗, &, -, ¬, ⇒) that delegates a class of isomorphic bounded and complemented bipolar lattices. A refined and generalized 9-set axiomatization is presented on a class of strict bipolar lattices. The notions of bipolar L-relations and equilibrium relations are introduced as bipolar L-sets. Remarkably, YinYang bipolar L-sets lead to a bipolar universal modus ponens (BUMP) which presents a unified non-linear bipolar generalization of classical modus ponens and builds a bridge from a linear, static, and closed world to a non-linear, dynamic, and open world of equilibria, quasi-equilibria, and non-equilibria for bipolar information/knowledge fusion, visualization, and decision. A number of potential applications are outlined.

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