Disjunctive normal networks

Relational Learning of Disjunctive Patterns in Spatial Networks

In spatial domains, objects present high heterogeneity and are connected by several relationships to form complex networks. Mining spatial networks can provide information on both the objects and their interactions. In this work we propose a descriptive data mining approach to discover relational disjunctive patterns in spatial networks. Relational disjunctive patterns permit to represent spati...

ϵ-OA for the solution of bi-objective generalized disjunctive programming problems in the synthesis of nonlinear process networks

Tree Decomposition of Disjunctive Fuzzy Temporal Constraint Networks

The Disjunctive Fuzzy Temporal Constraint Networks model allows to express complex temporal constraints, but its general complexity is exponential. There is a subset of these networks, having a tree structure, which can be solved in polinomial time. Thus, it can be interesting to decide if a Disjunctive Fuzzy Temporal Constraint Network can be reduced to an equivalent network with tree structur...

Polyhedrons and Perceptrons Are Functionally Equivalent

Mathematical definitions of polyhedrons and perceptron networks are discussed. The formalization of polyhedrons is done in a rather traditional way. For networks, previously proposed systems are developed. Perceptron networks in disjunctive normal form (DNF) and conjunctive normal forms (CNF) are introduced. The main theme is that single output perceptron neural networks and characteristic func...

A Tractable Subclass of Fuzzy Constraint Networks

The Fuzzy Constraint Networks model, a generalization of the Disjunctive Temporal Fuzzy Constraint Networks, is a framework that allows representing and reasoning with fuzzy qualitative and quantitative complex constraints. However, its general complexity is exponential, and we need to find tractable subclasses. In this paper we propose two algorithms to deal with a tractable subclass named Ser...

Nonlinear disjunctive kriging for the estimating and modeling of a vein copper deposit

ABSTRACT Estimation of mineral resources and reserves with low values of error is essential in mineral exploration. The aim of this study is to estimate and model a vein type deposit using disjunctive kriging method. Disjunctive Kriging (DK) as an appropriate nonlinear estimation method has been used for estimation of Cu values. For estimation of Cu values and modelling of the distributio...