Computer Science: Faculty Publications

YinYang Bipolar Lattices and L-sets for Bipolar Knowledge Fusion, Visualization, and Decision

Document Type

Article

Publication Date

12-2005

Publication Title

International Journal of Information Technology & Decision Making

DOI

10.1142/S0219622005001763

ISSN

1793-6845

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 BL is defined as a bipolar equilibrium function or mapping B : X ⇒ BL. 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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